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Optimisation of polymer concrete for the
manufacture of the precision tool
machines bases
By
Header Haddad
BSc & Master (Honours) in Advanced Manufacturing Technologies
A thesis submitted in fulfilment of the requirements for the
degree of Doctor of Philosophy
Faculty of Engineering & Industrial Sciences
Swinburne University of Technology
Hawthorn, Melbourne, Australia
August 2013
II
Declaration
I certify that except where due acknowledgement has been made, the work is that
of the author alone; the work has not been submitted previously, in whole or in
part, to qualify for any other academic award; the content of the thesis is the result
of work which has been carried out since the official commencement date of the
approved research program.
Header Haddad
III
Acknowledgments
I acknowledge the limited guidance of my principal supervisor Dr. Igor Sbarski in
the experimental work and other related aspects of my research. I also would like
to thank Dr. Mohammad Al Kobaisi, and Professor Robert Sanks, from RMIT
University, for their continuous support and valuable guidance throughout my
research. I acknowledge financial support in the form of a scholarship provided by
Advanced Manufacturing Cooperative Research Centre and ANCA Pty Ltd.
(AMCRC/ANCA).
My thanks are extended to the following people for their help at various stages of
my PhD research: Professor Emad Gad and Dr. Ibrahim Alsiaidi from the Civil
Engineering at Swinburne University for their advice in conducting the vibration
test for polymer concrete composite system; Dr. Larry Gordon and Sam Quint,
from AMCRC, for their support; and Grant Rivett, from Melbourne University, for
his assistance in conducting the compression and flexural tests for polymer
concrete composite system.
I also acknowledge the continuous support of Professor Pam Green the director of
the research office in Swinburne University, in various stages of my PhD study. I
wish to express my gratitude to my family for their endless support, love and
encouragement throughout my entire education.
Thank you
IV
Publications
Published conference paper
The effect of material composition on thermal expansion and mechanical strength
of polymer concrete used for manufacturing a base of CNC grinding machine.
Header Haddad, Igor Sbarski, Davide McPherson, Ajay Arora, In: Preceeding of
ANTEC 2011, pp. 967-972 .
Published journal paper
Optimization of the polymer concrete used for manufacturing bases for precision
tool machines. Header Haddad Mohamad Alkobaisi. Journal of Composite
material Part B: Engineering, 43, 8, pp. 3061-3068.
Influence of moisture content on thermal and mechanical properties and the
curing behaviour for polymeric matrix and polymer concrete composite. Header
Haddad, Mohamad Alkobaisi. Submited to Materials & Design 49, pp. 850-856.
V
Abstract
One of the main operational drawbacks of the polymer concrete (PC) bases of
precision tool machines is the high coefficient of thermal expansion (CTE). The
non-uniform distribution of thermal expansion for the base under operational
conditions induces high variation in the deflections on the base rails. The rails
have direct contact with other mechanical components that hold the workspace in
precision tool machines, impacting negatively on their accuracy. Reducing the
CTE of the PC base to reach the CTE of the metal inserts (rails, pads, stands etc.) is
essential to enhance the accuracy of the precision machine. Other parameters
affecting performance directly such as damping ratio, flexural strength, moisture,
dimethyl aniline (DMA) (promoter) and maturity need to be optimized to improve
the PC used in the base of precision tool machines. In the present study,
optimization of the PC base was undertaken according to the application
requirements. The optimization process started with the optimization of the resin
monomeric composition to lay the ground for further optimization of the PC
aggregate composition. The optimization of both the PC resin binder and the
composition of the aggregate were based on lowering the CTE and increasing both
the flexural strength and damping ratio, since these properties are essential key
controls for the thermal and mechanical stability of the bases used for precision
tool machinery. Commercial unsaturated polyester (ARAPOL) resin was
investigated along with other copolymers, methyl methacrylate (MMA) and
styrene (St), in various proportions. The proportions of the resin monomer
composition determine the thermal, mechanical and rheological properties of the
resin. It was found that the optimum resin for use as a binder for PC base is 40%
ARAPOL mixed with 60% MMA. In an effort to determine the optimum aggregate
composition, six aggregates (basalt, river gravel, spodumene, fly ash, sand, and
chalk) were investigated. PC samples were prepared with various aggregate
VI
compositions containing the same resin volume fraction (aggregate 83% and resin
17%). Four-point flexural testing was utilized to measure the flexural strength of
PC samples, and the CTE was measured using a custom-built device. The initial
optimum composition with the highest flexural strength and lowest thermal
expansion coefficient was found to be basalt, spodumene and fly ash. A basalt,
sand and fly ash composition was nominated for further optimisation to reduce
the resin volume fraction because of the ability of aggregate composition to adopt
less resin. A reduction in the resin volume fraction (17% - 13%) in the PC reduces
the value of CTE by 31% and flexural strength by 36%. This has no major effect on
the PC base’s structural rigidity because of the large size of the base and the
relatively small loads of the machine mounted on it. However, the damping ratio
reduction is approximately 40%. This shortcoming can be overcome by increasing
the structural damping properties of the whole machine. This can be achieved by
installing a mechanical damper to the PC base to maintain the required damping
ratio. The optimized aggregate composition was validated for the base of precision
tool machinery using ANSYS 13.0 CAE software and comparing various
aggregates compositions. Results show that the optimum composition offers more
thermal stability and variation in the deformation of the base rails is reduced to
negligible levels, which enhances the performance of the precision tool machine.
The optimum composition (filler 87%, resin 13%) also offers the advantage of cost-
effectiveness. The effects of the moulding temperature, mixing technology and the
amount of DMA (promoter) on moulding were investigated, and the technology
for mixing the resin with the aggregate was also investigated. Three mixing
technologies were proposed and the optimum mixing technology nominated
according to the level of mechanical strength of the PC sample. The effect of DAM
amount (promoter) and the moulding temperature were investigated. An
empirical relationship regulating the amount of DMA according to the moulding
temperature was obtained. PC sample compaction was also investigated, and
VII
various PC samples were subjected to a variety of frequencies for packing using a
vibrating table. The optimum frequency is identified based on the mechanical
strength of PC samples. The initial water (moisture) in the coarse aggregate of the
PC composite components was studied, and a volumetric ratio of 1-5% water was
included in the initial resin components. The effect of this water on the curing
process, the CTE and the mechanical properties of both the resin and PC
composites were investigated. It was found that moisture increases the curing time
and the CTE for the resin binder, the PC composite, and the damping factor for the
binding resin. It also decreases the flexural and compressive strength at various
rates. A maturity study of the polymer concrete was conducted, under which the
PC samples were cured at various temperatures for different periods of time.
Flexural strength was measured for each time and temperature used for the
curing. An empirical mathematical model describing the relationship between the
relative flexural strength of PC and the curing time and temperature was obtained.
In essence, this thesis has brought together the most essential aspects required to
optimize polymer concrete for the manufacture of bases for precision tool
machinery. These aspects relate to the PC composite material, polymeric binder,
the effect of moisture on polymer and PC, mixing technology, maturity of PC, and
moulding technology. All of these aspects were connected to the performance of
the precision machine through the investigation of the material properties and the
optimization process in accordance with the optimization criteria of the PC base
used for the precision tool machinery. Results of this research showed
improvements in these aspects and recommendations in terms of resin
compositions, PC composition, DMA, manufacturing process were all adopted by
the industrial partner.
VIII
Significant contributions of the thesis include:
§ The optimization of the chemical composition of the binding resin to be
used as a resin binder in polymer concrete. The purpose of the optimised
resin is to use the most suitable binder when manufacturing bases for
precision tool machinery according to the application requirements. The
optimized resin binder produces the second lowest coefficient of thermal
expansion (CTE), the highest damping factor, the highest flexural strength,
the highest tensile strength, and the shortest curing time and is second in
the ranking for level of hardness compared to other compositions.
§ The nomination of the optimum aggregate composition for polymer
concrete in order to provide the lowest CTE and an acceptable level of
flexural strength within the application requirements.
§ The development of an empirical relationship regulating the amount of
DMA (promoter) according to the moulding temperature of the resin
binder used in manufacturing the bases of precision tool machinery.
§ The identification of the optimum frequency of the vibrating table for the
PC sample to produce the maximum compaction based on the level of
mechanical strength of the PC samples developed.
IX
§ The provision of a fundamental understanding of all PC optimized
parameters (damping factor, CTE, curing, flexural strength) and the main
opposing parameter (moisture).
§ The optimisation of moulding technology in correlation with dimethyl
aniline (DMA) (promoter) amounts and moulding temperature. Also
optimisation of mixing technology within the consideration of aggregate
morphology and on-going resin viscosity increase during the curing.
§ The implementation of a maturing method that enhances the productivity
and the quality of polymer concrete for the base of precision tool
machinery.
§ The development of interdependencies or relationships between
mechanical properties such as flexural strength and the maturing time and
maturing temperature, which can help to predict the flexural strength of
polymer concrete within the curing time and temperature.
§ The conduct of an in-depth study of the effect of moisture on the CTE and
mechanical properties, and on the curing behaviour of both resin and PC
composite system.
X
Abbreviations
ATR-FTIR Fourier transform infrared spectroscopy
BET Brunauer, Emmett, and Teller specific surface area and porosity
BJH Barret, Joyner and Halenda theory to determine the desorption
BPO Benzoil peroxide
CAD Computer aided design
CAE Computer aided engineering
CNC Computer numerical control
CT Computerised morphology
CTE Coefficient of thermal expansion
DMA Dimethyl aniline
DMA Dynamic mechanical analyser
DSC Differential scanning calorimetry
HCl Hydrochloric acid
LDA Logarithmic decrement analyses
MEKP Methyl ethyl ketone peroxide
MMA Methyl methacrylate
MRI Magnetic resonance imaging
MT Mixing technology
NRL Natural rubber latex
NND N, N-diethyl aniline
PC Polymer concrete
SBR Styrene-butadiene rubber
SEM Scanning electron microscopy
TBS Tertiary butyl catechol
TGA Temperature gravimetric analysis
IAB Interfacial adhesion bonding
TMPTMA Terimethylol propane terimethacrylate
VV/VS The ratio of void volume to sample volume in resin
XI
UPE Unsaturated polyester
Symbols
Bf Isothermal bulk modulus of the filler
Bm Isothermal bulk modulus of the matrix
D1 Biggest diameter of particle generations
D2 Smallest diameter of particle generations
D3 Intermediate diameter of particle generations
Ea Activation energy
Gm Shear modulus of the matrix
K The ratio of the biggest particle diameter and smallest particle diameter
K Rate constant for a single scanning in Brouchat model
Mc Maturity of concrete
Mpc Maturity of polymer concrete
n Reaction Order
R The gas constant 8.314 (J/mol °K)
Si Specific surface area of aggregates
Vf Volume fraction of the filler
Vm Volume fraction of the matrix
VP Packing factor
Z Pre-exponential factor
αf Coefficient of thermal expansion of dispersed filler
αm Coefficient of thermal expansion of matrix
β Coefficient of volumetric thermal expansion
ΔH Heat Reaction
δr Thickness of the resin layer
0V The absolute volume
fV Total volume fraction occupied by the solid particles
XII
List of figures
Figure 1.1 CT-3D scanner machine. .......................................................................................... 2
Figure 1.2 CNC grinding tool machine. .................................................................................... 4
Figure 1.3 (A) The tool, (B) grinding wheel arrangement, the (C) spindle and the (C)fixture for more stability and more precision. ...................................................................................... 5
Figure 1.4 Tools of different geometries that can be made with precision tool machine...... 6
Figure 1.5 Manufacturing the core of a mould, a micro mould for a plastic micro gear, and the steel micro gear..................................................................................................................... 7
Figure 2.1 A Generalized chemical structure of unsaturated polyester molecule. .............. 24
Figure 2.2 Styrene chemical structure. .................................................................................... 24
Figure 2.3 Chemical structure of MMA (monomer). ............................................................. 26
Figure 2.4 Chemical structure of MEKP(initiator). ................................................................ 26
Figure 2.5 Chemical structure of DMA ................................................................................... 27
Figure 2.6 Chemical structure of cobalt octoate (promoter) .................................................. 27
Figure 2.2.7 (a) Flank wear versus cutting time, (b) surface roughness versus cutting time obtained using polymer concrete and cast iron beds under wet and dry turning conditions (PCBN inserts). ......................................................................................................................... 57
Figure 2.2.8 Comparison between cast iron and polymer concrete base in terms of (a) acceleration time history and (b) spectrum measured during free vibrations. ................... 58
Figure 2.2.9 Cross-section of the CNC machine bed (Ding, 2010). ....................................... 59
Figure 3.1 Chemical structure of UPE. .................................................................................... 65
Figure 3.2 Schematic configuration is of Malvern Mastersizer X. ........................................ 77
Figure 3.3 The results of particle size distribution of fly ash obtained from the Malvern Mastersizer software that can be converted into Excel.......................................................... 78
Figure 3.4 Zwick universal testing machine. .......................................................................... 81
Figure 3.5 Measuring device coefficient of thermal expansion (CTE). ................................. 83
Figure 3.6 Arrangement inside the heating chamber with other components of the experimental set-up. ................................................................................................................. 84
Figure 3.7 Thermal Advantage software. ............................................................................... 86
Figure 3.8 TA Universal 200 viewing DAM analysis file. ..................................................... 87
Figure 3.9 Flowchart of the procedure for measuring resin viscosity. ................................. 89
Figure 3.10 Experimental arrangements for measuring temperature during the curing of the resin. .................................................................................................................................... 90
XIII
Figure 3.11 DSC Analysis: (a) Precisa 125A Balance; TA Instruments Tzero press; and TA Instruments hermetic aluminium pans. (b) Modulated DSC 2920. (c) Modulated DSC 2920 Furnace. (d) Upper view of modulated DSC 2920 Furnace. ................................................. 93
Figure 3.12 DSC procedures. ................................................................................................... 94
Figure 3.13 ZEISS Supra 40 VP SEM. ...................................................................................... 95
Figure 3.14 Aggregates used in polymer concrete for different compositions. ................... 97
Figure 3.15 Drying aggregates using vacuum chamber. ....................................................... 97
Figure 3.16 Mould mounted on the vibrating table using G-clamps for sample preparation, (a) compression test mould and (b) flexural tests mould. ............................... 99
Figure 3.17 Sample for a compressive test (AS 1012.9-1986). .............................................. 100
Figure 3.18 Gel coated cylindrical steel mould. ................................................................... 101
Figure 3.19 Compression test for polymer concrete sample. .............................................. 101
Figure 3.20 Test settings for flexural strength according to AS 1012.11-2000. ................... 102
Figure 3.21 Fully disassembled rectangular mould for preparing a flexural strength sample. .................................................................................................................................... 103
Figure 3.22 Fully disassembled rectangle mould manufactured and ready to be used. ... 104
Figure 3.23 Sintech 60/D universal testing machine for conducting a flexural test according to AS 1012.11-2000. ............................................................................................... 104
Figure 3.24 Cross-section and exploded assembly drawing for the mould used for preparing a PC sample for the purpose of measuring damping ratio. .............................. 106
Figure 3.25 The accelerometer mounted on PC sample. ..................................................... 107
3.26 The amplifier connected to both the accelerometer and data acquisition system to supply data to the computer.................................................................................................. 108
Figure 3.27 Logarithmic Decrement Analyses (LDA). ......................................................... 109
Figure 3.28 Time domain obtained using Lab View software. ........................................... 110
Figure 3.29 Schematic diagram of CTE custom-built device. .............................................. 111
Figure 4.1 Initiation step for polymerization ........................................................................ 114
Figure 4.2 Propagation step for unsaturated polyester resin .............................................. 115
Figure 4.3 Termination step of unsaturated polyester copolymerization .......................... 116
Figure 4.4 Viscosity versus time for all ARAPOL/styrene compositions .......................... 118
Figure 4.5 Gel time versus ARAPOL volume fraction for ARAPOL/MMA composition. ................................................................................................................................................. 118
Figure 4.6 Gel time versus ARAPOL volume fraction for ARAPOL/ styrene composition. ................................................................................................................................................. 119
XIV
Figure 4.7 Viscosity versus time for all ARAPOL/MMA compositions ............................ 120
Figure 4.8 Exothermic temperature profile during the curing of ARAPOL/styrene compositions. .......................................................................................................................... 122
Figure 4.9 Exothermic temperature profile during the curing of ARAPOL/MMA compositions. .......................................................................................................................... 123
Figure 4.10 25% ARAPOL/styrene sample. ........................................................................ 125
Figure 4.11 Damping factors of all resin compositions versus frequency plotted using universal V4 software from TA instruments. ....................................................................... 125
Figure 4.12 Damping factor of all resins at frequency of 100HZ, ARAPOL/styrene and ................................................................................................................................................. 126
Figure 4.13 Effect of ARAPOL volume fraction on flexural strength. ................................ 128
Figure 4.14 Effect of ARAPOL volume fraction on (a) tensile strength, (b) strain for compositions containing MMA and styrene individually. ................................................. 129
Figure 4.15 Effect of ARAPOL (%) on modulus of elasticity for ARAPOL/Styrene and ARAPOL/MMA. .................................................................................................................... 130
Figure 4.16 Resin samples with various proportions of MMA, ARAPOL and styrene prepared for measuring CTE. ................................................................................................ 131
Figure 4.17 Thermal expansion behaviour of different resins with different proportions of ARAPOL/MMA. .................................................................................................................... 132
Figure 4.18 Thermal expansion behaviour of different resins with different proportions of ARAPOL/styrene. .................................................................................................................. 132
Figure 4.19 CTE for all resin composition versus ARAPOL volume fraction (%).] ........... 133
Figure 4.20 ARAPOL volume fractions versus hardness shore D in ARAPOL/MMA composition............................................................................................................................. 134
Figure 4.21 ARAPOL volume fractions versus hardness shore D in ARAPOL/Styrene composition............................................................................................................................. 135
Figure 5.1 Particle size distributions for all aggregates. ...................................................... 140
Figure 5.2 Recommended number of generations as a function of packing and ratio K. . 143
Figure 5.3 Theoretical packing of particles versus the ratio of smallest to largest generations. ............................................................................................................................. 144
Figure 5.4 SEM of failed PC sample: the failure mechanism is going through the interfacial bonding between filler particles, in this case fly ash. ........................................ 151
Figure 5.5 Samples of polymer concrete of different compositions. ................................... 152
Figure 5.6 SEM images of (a) Spodumene: with hard and sharp textures containing layers, (b) Sand: round and smooth, (c) Fly sh: spherical shape and smooth surface, (d) Chalk: irregular shape with texture. ................................................................................................. 154
XV
Figure 5.7 Viscosity of mixture resin fly ash, resin chalk versus time. ............................... 155
Figure 5.8 CTE of PC composite versus resin volume fraction. .......................................... 157
Figure 5.9 Layer thickness of segregated fine aggregate for different resin volume fraction. ................................................................................................................................................. 158
Figure 5.10 Flexural strength of PC versus resin volume fraction. ..................................... 159
Figure 5.11 Time domain for different PC samples containing 13, 17 and 20% resin volume fraction. ................................................................................................................................... 160
Figure 5.12 Effect of the amount of resin polymer concrete on the structural damping system. ..................................................................................................................................... 161
Figure 5.13 CAD model of a CNC grinding tool machine and the base, in transparent mode, demonstrating insert supports using yellow arrows. .............................................. 162
Figure 5.14 Centroid determinations for each individual group of components (tagged by red)........................................................................................................................................... 163
Figure 5.15 The main mass point to be included in the simulation. ................................... 163
Figure 5.16 Outlet, inlet and environment temperatures versus time under operational conditions for a CNC grinder tool machine. ........................................................................ 164
Figure 5.17 Temperatures and the areas where they were applied on the base. ............... 165
Figure 5.18 Temperature distribution on the base of the CNC grinder tool machine....... 165
Figure 5.19 Structural deformations under thermal conditions (a) first composition (basalt, spodumene, and fly ash), (b) last composition (gravel, sand, chalk). ................................ 167
Figure 5.20 Structural deformations under thermal condition (a) PC resin amount 17% (b) PC resin amount 13%. ............................................................................................................ 167
Figure 6.1 Experimental setup for measuring the frequency and the amplitude of a vibrating table. ........................................................................................................................ 173
Figure 6.2 Relation between the amplitude and set frequency for the vibration table. .... 175
Figure 6.3 The mould contains the PC sample mounted on vibration table, the frequency applied. .................................................................................................................................... 176
Figure 6.4 Temperature of MMA/ARAPOL resins with different content of DMA. ....... 179
Figure 6.5 Viscosity of resins versus their curing time for a variety of DMA content. ..... 180
Figure 6.6 Time to the maximum temperature of 40% ARAPOL/60% MMA resins with different contents of DMA for various moulding temperatures. ....................................... 181
Figure 6.7 DSC curves of 40%. ARAPOL/60%MMA resins without DMA (solid curve) and with 0.3% of DMA (broken curve). ................................................................................ 184
Figure 7.1 Moisture during the days of the week in aggregate used in polymer concrete. ................................................................................................................................................. 194
XVI
Figure 7.2 DSC data processing using the TA Specialty library: inset time of 70% conversion at 60 °C versus water content. ............................................................................ 196
Figure 7.3 Time of 70% conversion at 60 ℃ versus water content. ..................................... 197
Figure 7.4 Viscosity increase for UPE containing various amounts of water: inset gel time versus water percentage in UPE............................................................................................ 199
Figure7.5 FTIR spectra of polymeric matrix prepared with 0, 1, 2, 4 and 5%v initial water, (A) O-H and C-H stretching peaks, (B) C=O stretching peak and (C) the range including C-O and C-H bending. ........................................................................................................... 200
Figure 7.6 TGA of polymeric matrix containing various amounts of water. The inset show an expended region of water evaporation weight loss (the graphs are scaled up by 1% for clarity)...................................................................................................................................... 201
Figure 7.8 Mechanical properties of UP/S/MMA polymeric matrix as a function of water percentage; (A) Modulus of elasticity, (B) Tensile strength versus, (C) Flexural strength versus water percentage, (D) Tensile strength. .................................................................... 203
Figure 7.9 SEM images for flexural fracture resin containing different amounts of moisture; (A) moisture 1%, (B) moisture 3%, (C ) moisture 5%. Scale bar is 10 µm for all images...................................................................................................................................... 204
Figure 7.10 Half sphere void exhibiting the nature of a void inner surface for polymeric matrix fracture (scale bar is 1 µm). ........................................................................................ 205
Figure 7.11 Voids forming due to water existence at the early stage of curing resin containing 5% moisture. ........................................................................................................ 205
Figure 7.12 DMA analyses (A) storage modulus of polymeric matrix versus frequency (B) tan δ versus frequency for different water percentage. ....................................................... 207
Figure 7.13 Coefficient of thermal expansion (CTE) of polymeric matrix verses water percentage. .............................................................................................................................. 208
Figure 7.14 Flexural strength of polymer concrete composite system versus the percentage of moisture contents. .............................................................................................................. 209
Figure 7.15 Water distributions on a polymeric matrix and the interfacial bonding of matrix – aggregates in a polymer concrete composite system. ........................................... 211
Figure 7.16 PC sample containing 5% moisture. .................................................................. 211
Figure 7.17 Compressive strength of polymer concrete composite system verses the percentage of water content................................................................................................... 212
Figure 7.19 CTE of the PC composite system versus water content .................................. 214
Figure 8.1 Flexural strength of the PC as a function of maturing time at various maturing temperatures: ambient, 5 °C, 35 °C and 50°C. ..................................................................... 223
Figure 8.2 Relative strength of PC as a function of maturing time at 50 °C. ...................... 224
Figure 8.3 revealed a relationship connecting k with the temperature. ............................. 225
XVII
Figure 8.4 Relative strength versus maturing time for 5°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula. ............................. 226
Figure 8.5 Relative strength versus maturing time for 35°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula. ............................. 227
Figure 8.6 Relative strength versus maturing time for 50°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula. ............................. 227
Figure 8.7 Moisture 1%, increase the maturing temperature increased the cracks and voids in UPE resin binder. ............................................................................................................... 229
Figure 8.8 Moisture 2% shows a higher level of cracks and void populations in UPE resin binder. ..................................................................................................................................... 230
XVIII
List of tables
Table 2.1 Examples of some non-styrene monomers used in UPEs. .................................... 25
Table 2.2 Mechanical properties of polymer concrete, resin is MMA – TMPTMA at various temperatures (Kukacka, 1973). ................................................................................................ 28
Table 2.3 Different combinations of PET-to-glycol ratio, dibasic acids and initiator promoter for UPE made from PET waste (Mahdi et al., 2010). ............................................. 32
Table 3.3.1 UPE properties supplied by the manufacturer. .................................................. 65
Table 3.2 Styrene specifications provided by the manufacturer. .......................................... 66
Table 3.3 MMA properties provided by the supplier. ........................................................... 67
Table 3.4 MEKP properties provided by the supplier. .......................................................... 68
Table 3.5 Cobalt octoate supplier specifications in different concentrations. ..................... 69
Table 3.6 DMA Supplier specifications obtained from the supplier..................................... 70
Table 3.7 Specifications of basal obtained from the supplier. ............................................... 71
Table 3.8 Specifications of gravel delivered by the supplier. ................................................ 72
Table 3.9 Sand specifications obtained from the supplier. .................................................... 72
Table 3.10 chemical contents of spodumene obtained from the supplier. ........................... 73
Table 3.11 Fly ash specifications obtained from the supplier. .............................................. 74
Table 3.12 Chalk specifications obtained from the supplier.................................................. 75
Table 3.13 Resin chemical constituencies and volume fraction for each. ............................. 98
Table 3.14 Centre-to-centre distance of the supporting and loading roller for.................. 102
Table 4.1 comparison of the published data for epoxy and UPE with the optimized resin ................................................................................................................................................. 137
Table 5.1 Properties of all sizes of aggregates: coarse, middle and fine filler. ................... 141
Table 5.2 Aggregate average diameters and volume voids. ............................................... 142
Table 5.3 Ratios (K) of average smallest diameters to largest diameters for potential compositions. .......................................................................................................................... 143
Table 5.4 Intermediate generation for the compositions. .................................................... 145
Table 5.5 Total absolute volume of fillers for each composition. ........................................ 146
Table 5.6 Theoretical total volume fraction of solid for each composition. ....................... 147
Table 5.7 Volume fraction for each aggregate within its composition for all compositions. ................................................................................................................................................. 148
Table 5.8 Aggregate compositions used in the PC formulations in this study and their flexural strength and CTE. ..................................................................................................... 153
XIX
Table 5.9 Effect of PC composition, resin volume fraction on precision of the base ......... 168
Table 5.10 comparison of the published data for PC-epoxy based and PC-UPE based with the optimized PC. ................................................................................................................... 170
Table 6.1 The frequency and amplitude of the vibrating table. .......................................... 174
Table 6.2 Vibrating time and compressive strength of PC samples ................................... 177
Table 6.3 Recommended DMA content for different moulding temperatures. ................. 182
Table 6.4 Parameters of Borchardt and Daniels model for 40%ARAPOL /60%MMA resins with different contents of DMA. ........................................................................................... 184
Table 6.5 Mechanical properties of resins with different volume fractions of DMA. ....... 186
Table 6.6 Effect of mixing technology on flexural strength of PC. ..................................... 187
Table 7.1 Water solubility for polymeric matrix contents. .................................................. 193
Table 7.2 Parameters of Borchardt and Daniels model for different resin moisture contents. .................................................................................................................................. 198
Table 7.3 Peak temperatures for resins containing various amounts of water .................. 202
Table 7.4 BET analysis of all aggregates used in the composition of polymer concrete ... 210
XX
Contents
Statement of Authenticity……..……………….....……………………………………. II
Acknowledgements …..………………...……………………………………………….III
Publications....………………………………………………………………………….. IV
Abstract...……………………………………………………………………………….. V
Significant contributions…………………………………………………………….VIII
Abbreviations …………….…………………………………………………………....X
Symbols.....…………….…………………………………………………………......XI
List of Figures ………………………………………………………………………….XIII
List of Tables .................................................………………………………………. XVIII
Contents ...……………..…………………………………………………………….. XXI
Table of Contents ……..…………………………………………………………….. XXI
XXI
Table of Contents
1 Introduction ................................................................................................................... 1
1.1 Precision machines ........................................................................................... 1
1.2 Precision tool machines ................................................................................... 3
1.3 The effect of level of precision tool on product accuracy in manufacturing
sequence ...................................................................................................................... 6
1.4 Bases for precision machines ........................................................................... 8
1.5 The replacement of cast iron by polymer concrete for bases of precision
tool machines: advantages and disadvantages ...................................................... 10
1.6 Research objectives......................................................................................... 13
1.7 Dissertation outlets ........................................................................................ 14
Chapter 2 Literature review ........................................................................................... 18
2.1 Introduction .................................................................................................... 18
2.2 Thermosetting material in polymer concrete ............................................... 19
2.3 The use of thermoset material in polymer concrete research ..................... 20
2.3.1 The use of thermosetting binder in manufacturing PC base precision
tool machine ........................................................................................................... 22
2.3.2 Unsaturated polyester and copolymers ................................................ 23
2.4 Polymer concrete containing UPE-MMA as a resin binder ........................ 28
2.4.1 UPE produced from recycled PET used as a binder in PC .................. 29
2.4.2 Improve the damping properties of UPE polymeric matrix ............... 33
2.4.3 Effect of curing on mechanical properties of UPE ............................... 34
2.5 Fillers in polymer concrete ............................................................................ 35
XXII
2.5.1 Effect of fillers on polymer concrete properties ................................... 35
2.6 Properties of polymer concrete composite system ...................................... 39
2.6.1 Maturity and long-term properties of polymer concrete ..................... 48
2.7 Polymer concrete for manufacturing the bases of precision tool machines
54
2.8 Conclusion ...................................................................................................... 60
Chapter 3 Materials and Methods ................................................................................. 64
3.1 Polymeric matrix ............................................................................................ 64
3.1.1 Unsaturated polyester (UP) .................................................................... 64
3.1.2 Styrene...................................................................................................... 65
3.1.3 Methyl methacrylate (MMA) ................................................................. 66
3.1.4 Methyl Ethyl Ketone Peroxide (MEKP) ................................................ 67
3.1.5 Promoter .................................................................................................. 68
3.1.6 Accelerator ............................................................................................... 69
3.2 Specifications of filler composition of polymer concrete ............................ 70
3.2.1 Basalt ........................................................................................................ 70
3.2.2 Gravel ....................................................................................................... 71
3.2.3 Sand .......................................................................................................... 72
3.2.4 Spodumene .............................................................................................. 73
3.2.5 Fly ash ...................................................................................................... 73
3.2.6 Chalk ........................................................................................................ 74
3.3 Methods of measuring properties of fillers .................................................. 75
3.3.1 Sieve analysis ........................................................................................... 75
3.3.2 Determination of the particle size distribution using laser scattering 76
3.3.3 Bulk density ............................................................................................. 78
3.3.4 True density ............................................................................................. 79
XXIII
3.3.5 BET (Brunauer, Emmett, and Teller) surface area ................................ 79
3.3.6 Method of measuring aggregate moisture content .............................. 79
3.4 Methods of testing polymeric matrix ........................................................... 80
3.4.1 Methods of testing mechanical and thermal properties for polymeric
matrix 80
3.4.1.1 Methods of testing tensile and flexural strength .............................. 81
3.4.1.2 Hardness (Shore D Test Method) ....................................................... 82
3.4.1.3 Coefficient of thermal expansion (CTE) for the resin ....................... 82
3.4.1.4 DMA analysis....................................................................................... 85
3.4.2 Rheological analysis ................................................................................ 87
3.4.2.1 Measurement of viscosity growth during polymerisation .............. 88
3.4.2.2 Method of monitoring resin temperature profile during
polymerisation. ................................................................................................... 89
3.4.2.3 Method of measuring gel time ........................................................... 91
3.4.3 Thermal analysis ..................................................................................... 91
3.4.3.1 Differential Scanning Calorimetry (DSC) .......................................... 91
3.4.3.2 Thermal Gravimetry Analysis (TGA) ................................................ 94
3.4.4 Scanning Electron Microscopy (SEM) ................................................... 95
3.4.5 Fourier Transform Infrared Spectroscopy (ATR-FTIR) ....................... 95
3.5 Methods of testing polymer concrete composite system ............................ 96
3.5.1 Sample preparation for polymer concrete composite system ............. 96
3.5.2 Compressive strength ........................................................................... 100
3.5.3 Flexural strength ................................................................................... 102
3.5.4 Measuring the structural damping ratio for a system containing 85-
90% polymer concrete.......................................................................................... 105
3.5.5 Measuring coefficient of thermal expansion (CTE) for PC composite
110
XXIV
Chapter 4 Optimization of polymeric matrix ............................................................. 112
4.1 Introduction .................................................................................................. 112
4.2 Curing of unsaturated polyester resin........................................................ 113
4.2.1 Initiation step: ........................................................................................ 114
4.2.2 Propagation step: .................................................................................. 114
4.2.3 Termination step: .................................................................................. 115
4.3 Rheological analysis ..................................................................................... 117
4.3.1 The effect of styrene/UPE ratio ........................................................... 117
4.3.2 The effect of MMA/styrene/UPE ratio............................................... 119
4.3.3 Exothermic temperature ARAPOL/Styrene compositions ............... 121
4.3.4 Exothermic temperature ARAPOL/MMA compositions ................. 122
4.4 Mechanical properties .................................................................................. 123
4.4.1 Damping factor for polymeric matrix ................................................. 124
4.4.2 Flexural strength ................................................................................... 127
4.4.3 Tensile strength ..................................................................................... 128
4.4.4 Coefficient of thermal expansion (CTE) for polymeric matrix .......... 130
4.4.5 Hardness ................................................................................................ 134
4.5 Conclusions................................................................................................... 135
Chapter 5 Optimization of the polymer concrete filler composition system .......... 138
5.1 Introduction .................................................................................................. 138
5.2 Particles properties of aggregates ............................................................... 139
5.3 Thermal expansion of composite material ................................................. 149
5.4 Results and discussion ................................................................................. 151
5.5 Effect of resin volume fraction on polymer concrete damping ................ 159
5.6 Results validation ......................................................................................... 161
XXV
5.7 Conclusions................................................................................................... 168
Chapter 6 Optimization of moulding technology ..................................................... 171
6.1 Introduction .................................................................................................. 171
6.2 The effect of the number of voids on the compressive strength of polymer
concrete ................................................................................................................... 172
6.3 Identification of maximum moulding duration as a function of moulding
temperature and DMA content in resin binder ................................................... 177
6.3.1 Effect of DMA (promoter) contents on temperature rise during curing
178
6.3.2 Effect of DMA contents on viscosity growth during resin
copolymerization ................................................................................................. 179
6.3.3 Effect of DMA content on curing behaviour of resin binder ............. 183
6.3.4 Effect of DMA contents on resin binder mechanical properties ....... 185
6.4 Optimization of mixing technology of PC ................................................. 186
6.5 Conclusions................................................................................................... 188
Chapter 7 Influence of moisture on the thermal and mechanical properties and
curing behaviour of a polymeric matrix and PC composite system ........................ 189
7.1 Introduction .................................................................................................. 189
7.2 Sample preparation ...................................................................................... 190
7.2.1 Resin domain ......................................................................................... 190
7.2.2 Polymer concrete composite ................................................................ 191
7.3 Results and discussion ................................................................................. 192
7.3.1 Measuring the level of moisture in aggregate .................................... 193
7.3.2 Curing behaviour of the polymeric matrix ......................................... 194
7.3.3 Interaction of polymeric matrix with water ........................................ 199
XXVI
7.3.4 Thermal Gravimetric Analysis (TGA) ................................................. 200
7.3.5 Resin domain mechanical properties .................................................. 202
7.3.6 Dynamic Mechanical Analyses (DMA) ............................................... 206
7.3.7 Coefficient of thermal expansion (CTE) of polymeric matrix ........... 207
7.4 Mechanical properties of polymer concrete composite material ............. 208
7.4.1 Coefficient of thermal expansion (CTE) of PC composite system .... 212
7.5 Conclusions................................................................................................... 214
Chapter 8 Maturity studies of polymer concrete ....................................................... 216
8.1 Introduction .................................................................................................. 216
8.2 Maturity method .......................................................................................... 217
8.3 Datum temperature ...................................................................................... 220
8.4 Estimation of datum temperature............................................................... 220
8.5 Experimental studies of polymer concrete maturity ................................. 221
8.6 Relative flexural strength ............................................................................ 224
8.7 Moisture effect on the resin mechanical properties during maturing ..... 228
8.8 Conclusions................................................................................................... 231
Chapter 9 Conclusions ................................................................................................. 232
9.1 Introduction .................................................................................................. 232
9.2 Major Findings and Original Contributions .............................................. 233
9.3 Recommendation and Future Work ........................................................... 237
References...................................................................................................................... 239
1
Chapter 1
1 Introduction
1.1 Precision machines
A precision machine is a machine that performs a machining or non-machining
process on a workpiece to a very high tolerance. The tolerance depends on the
machine, the complexity of the workpiece and the stability of the work envelope.
Precision machines can be classified into two categories: cutting precision
machines and non-cutting precision machines. Precision cutting machines include
computer numerical control (CNC) grinding tool machines, CNC milling
machines, CNC turning centres, water jet cutting machines, laser cutting machines
and ultrasonic machining centres. Precision non-cutting machines include
magmatic resonance imaging MRI-machines, computerised tomography CT-
scanners and metrology machines. All precision machines require ultra-stability
for the workpiece envelope during operational conditions (Kim et al., 1995). Figure
1.1 shows a CT-scanner equipped with an enclosure made of polymer concrete
(PC) for radiation protection and a PC base to enhance precision by damping the
vibrations generated by the servomotors that control workpiece position and other
servomotors operating on the workpiece.
2
Figure 1.1 CT-3D scanner machine.
The levels of vibration load, mechanical and thermal loads vary in precision
machines, and depend on the precision machine’s functionality, capacity, stability
and product complexity (Ema and Marui, 2003). A simple measurement for overall
loads is the number of servo motors that a machine contains. For example, a CNC
grinder tool machine has 5-7 servo motors operating at various speeds and located
in different positions on the machine guided by 5 axes of motion, and in most
production conditions operating at high speeds. It has a greater level of vibration
compared to a CT-scanner, which contains only 2-3 servo motors operating at very
low speeds for the sole purpose of moving and locating the workpiece (patient).
The process of scanning 3-D images by CT-scanners would be more assured of
sharp image acquisition in a vibration-free condition. This would assist in accurate
patient diagnosis, and enable the scanning of non-patient work-pieces to the same
level of image acquisition, thereby providing accurate data. A high level of
accuracy can be achieved when the machine is equipped with a PC base. Here is
3
the magnitude of polymer concrete material used in the base of a precision
machine to damp the unwanted vibrations accompanied with the operational
condition to enhance the precision of the machine (Orak and Karademir, 2000).
1.2 Precision tool machines
The definition of a precision tool machine is elusive. There is no exact set of
tolerance ranges that clearly defines a workpiece allowance limit when produced
from a precision tool machine. A product considered high precision can range
anywhere from having to consistently maintain a 5-micron tolerance for a large
batch of parts, to maintaining a 2-micron, true positioning tolerance. This results
when two parts accurately match up with each other (Techspex, 2008). This figure
for understanding precision is not a constant level and can be changed depending
on the time and assignment. One of the best applications in a precision cutting
machine is the CNC grinding tool machine that evolved in terms of the precision
level in accelerated steps. The demand for precision in tools has grown to such
high levels to satisfy the growth in technology. This development has been
continuous because of advanced manufacturing technologies for applications in
the optical, automotive and communication industries, and especially in the
medical and life sciences fields (Park, 2008).
The accuracy of precision tool machines depends on the stability level of the
machine base-frame during operation. The stability level is affected by the
subsystems mounted on the base that holds the workpiece, as well as on other
subsystems that are responsible for conducting operations on a workpiece such as
the cutting tool subsystem. Figure 1.2 shows a CNC grinding tool machine
(ANCA, 2011). The positioning and cutting subsystems and their accuracy are
4
under complex dynamic and static internal loads in precision tool machines. These
loads are generated from servo motors and other machine components, where
forces, torques, vibrations and heat gradients are produced throughout the system
to satisfy the grinding operation requirements.
Figure 1.2 CNC grinding tool machine.
In the meantime, these loads act as an error source because of their share in the
thermal and dynamic stabilities in the workpiece envelope. Figure 1.3 shows the
arrangement of a grinding wheel and the workpiece (tool) during a grinding
operation. The machine has a special fixture that adds more stability to a relatively
long workpiece for the purpose of gaining a better surface finish, a high level of
precision and longer tool life (ANCA, 2009).
5
Figure 1.3 (A) The tool, (B) grinding wheel arrangement, the (C) spindle and the (C)fixture for more stability and more precision.
The main challenges for a CNC grinding tool machine are the geometric
complexity (Tunc and Budak, 2012) and the high level of product surface finish for
the workpiece, as these are vital precision requirements (Peter, 1965). Figure 1.4
shows tools with various geometries that can be manufactured by a CNC grinder
tool machine. To satisfy these requirements, a workpiece should have a high level
of stability throughout the manufacturing operation. The parameters affecting the
grinding operation in terms of precision are: the material of the produced tool, the
grinding wheel material, and the process control, such as the feed and speed of the
grinding wheel and the tool’s complexity. Each of these parameters influences the
precision level of the machine (Techspex, 2008).
6
Figure 1.4 Tools of different geometries that can be made with precision tool machine.
1.3 The effect of level of precision tool on product accuracy in
manufacturing sequence
A milling tool is a good example to demonstrate the effect of the level of tool
precision on product accuracy through a manufacturing sequence. Once a milling
tool is produced, it will then be used in a CNC milling machine to manufacture
other products. Some of the products can be considered as tools for manufacturing
a particular product. For example, a micro-injection mould (tool) can be used in
producing micro-gears (product), which can be used in micro-fluid pumps,
harmonic drivers, watches and medical equipment. Figure 1.5 illustrates the stages
in the manufacture of plastic micro-gears. Micro-plastic gears eliminate noise due
to the good damping properties of plastic. The noise was generated from the steel
gears that were previously used in such applications. Other advantages of plastic
gears are the ease of manufacture and the high productivity of the injection
moulding process, which are reflected in the product life cycle of the gears, their
high anti-corrosion resistance and precise control (Dopper et al., 1997).
7
Each process in the manufacturing sequence of the milling tool will have an
influential effect on the precision of the micro-injection mould. The accuracy and
functionality of the end product (for example, micro-plastic gears) will be affected
by the accuracy of the post-process levels of the milling tool. In this case, micro-
plastic gears inherit their level of accuracy from the original tool (milling tool)
through the process of manufacture of the micro-mould. This depends greatly on
the original milling tool produced by the CNC grinding tool machine and the
milling machine used for the milling the micro-mould. The level of accuracy of
both precision machines determines the accuracy level for all the products created,
and hence the importance of a PC base for both the CNC grinding tool machine
and the milling machine (Suh and Lee, 2008a). PC has a marked effect on the
precision of the milling tool by damping the unwanted vibration created by servo
motors during the manufacturing operation (Sezan, 2000).
Figure 1.5 Manufacturing the core of a mould, a micro mould for a plastic micro gear, and the steel micro gear.
8
1.4 Bases for precision machines
The bases for precision tool machines can be manufactured using different
materials, including cast iron, polymer concrete (Lee et al., 2004), ferrocement
(Rahman et al., 1987) and combined PC and ordinary concrete (Ding, 2010). The
traditional material used in the manufacture of a CNC grinding tool machine base
used to be manufactured using cast iron, but this did not fully satisfy the
requirements due to the low damping ratio of cast iron, the inflexibility of the cast
iron in terms of adapting internal plastic pipes, and the complexity in
manufacturing, especially after the casting process. Ferrocement concrete and
traditional concrete have a higher damping ratio than cast iron and PC has the
highest (Rahman et al., 2001). PC is a composite material comprised of two kinds
of constituents, namely well-graded inorganic aggregates and organic resin binder
(ACI, 1986). A wide range of diversified thermosetting resins used as a polymeric
matrix, namely epoxies, unsaturated polyester (UPE), polyureas, furan and
polyurethane (Mosiewicki et al., 2009). Potential thermosetting resins to be used as
a polymeric matrix in PC are including polysiloxanes, polyimides and polyglycols
(Bucknall, 1992). Epoxies exhibit high strength, low shrinkage, and a relatively low
coefficient of thermal expansion (CTE), and provide toughness as well as
resistance to chemical and environmental damage (Michel, 2007). Unsaturated
polyester provides excellent adhesive properties, a relatively lower strength than
epoxy, a higher CTE and higher shrinkage than epoxy (Fowler, 2003). A wide
variety of resins and aggregates has been used by various researchers to fabricate
PCs. Epoxy as a binder is still used in PCs, but substantial research and
engineering efforts have focussed upon cheaper vinyl monomers such as
unsaturated polyester resin, methyl methacrylates (MMA), furan derivatives and
styrene (Atta et al., 2005). There was a need for this research, which has optimized
the properties of the polymeric matrix according to the optimization criteria for
9
the base of precision tool machinery as most of the preceding research was
concerned with the resin as a material and did not connect the material fully with
the application. In this thesis, consideration has been given to both the material
and the application in order to reach the optimization.
Previous research on PC was more focused on the PC as a material and did not
address the optimization criteria for a particular application fully to enhance the
base of precision machine. There are some gaps, such as:
1. Optimization of the resin thermo-mechanical and rheological properties in
accordance with the manufacturing process of PC and the final structural
functionality of precision tool machine bases.
2. Nomination of the allowable moisture content in the fillers, based on the
influence of water on the mechanical, thermal and rheological properties of the
polymeric binder and the morphology of PC composite filler system.
3. Investigation of the effect of resin and filler volume fractions on the thermo-
mechanical properties that affect the precision performance of the grinding tool
machine. Investigation of properties such as CTE, damping characteristics and
mechanical strength of the PC composite system.
4. Investigation of the effect of moulding technology, including the
optimisation of mixing, maximum compaction and the vibrating time bias of the
10
rheological properties of the resin binder and morphological properties of the
filler.
5. Identification of the amount of DMA according to the temperature-time
dependant rheological properties of the polymeric binder and how it is going to
affect the mechanical properties of the resin and PC composite.
6. Nomination of the maximum allowable moulding period based on curing
studies and the temperature-time dependant, rheological properties of mortars.
7. Nomination of a maturing method compatible with the required
mechanical strength of the base according to the optimization criteria of the
grinding tool machine.
1.5 The replacement of cast iron by polymer concrete for bases of
precision tool machines: advantages and disadvantages
The PCs used for manufacturing the bases of precision machines have numerous
advantageous, including superior damping properties, manufacturing flexibility,
fast curing, and good mechanical properties including high flexural and
compression strengths. In addition, PCs have good adhesion for inserts, and are
corrosion-resistant as well as cost-effective. Consequently, PC is a perfect
replacement for cast iron (Bruni et al., 2008), which suffers from low damping
properties, high cost, and low chemical resistance (Salje and Gerloff, 1986). A
11
comparison of the properties of these materials and how they affect the
manufacturing process and machine performance is discussed below:
Damping ratio: PC has a higher damping ratio compared to other materials. Cast
iron has the lowest damping ratio compared to both PC and ordinary concrete
(Rahman et al., 2001).
Flexibility: Hydraulic fluid (plastic pipes), tanks, threaded and non-threaded
inserts, cutting fluids and conduit piping can all be integrated into a PC or a
concrete base. Incorporating multiple components into one casting has a great
impact on the reduction of assembly time. Multiple plastic components cannot be
included in one casting of cast iron because the casting temperature is higher than
the melting temperature of most plastic components (Salje and Gerloff, 1986).
Melting temperature: Cast iron requires a melting temperature of 1100 °C prior to
casting and machining after casting. PC does not require any temperature rise
during the process and no machining is required after curing.
Cost: PC and reinforced concrete materials are more cost-effective than cast iron as
they contain 80-87% low cost aggregates (Chang and Stephens, 1975).
Environmentally friendly: PC and reinforced concrete bases do not require as
much consumption of energy (Haddad et al., 1983) as cast iron for casting the base.
12
Chemical corrosion resistance: PC offers chemical resistance to most common
solvents, acids, alkalis and cutting fluids. Cast iron and conventional concrete are
susceptible to chemical corrosion under chemical attack (Gorninski et al., 2007).
Stiffness: PC has greater stiffness than concrete, and lower mechanical properties
than cast iron (Cortes and Castillo, 2007), making it highly acceptable for the base
of precision tool machines and fulfilling the application requirements.
Water permeability: PC has lower water permeability than cast iron and higher
permeability than concrete.
The disadvantages of PC and concrete when used for manufacturing the bases for
precision tool machines include the following:
High non-uniform thermal expansion: PC has a higher CTE because of the high
CTE of the resin binder (Valore and Naus, 1975), compared to cast iron which has
a low CTE. This condition leads to a non-uniform distribution of thermal
expansion for the base during operation that induces a high variation in
deflections on the base rails. This has a negative impact on the accuracy levels of
precision tool machines.
Low thermal conductivity: PC has a lower thermal conductivity than cast iron,
which has high thermal conductivity.
Creep and shrinkage: PC and reinforced concrete both have higher creep and
shrinkage than cast iron (Haque and Armeniades, 1985).
13
Maturing time: PC requires longer maturing time compared to cast iron (Lee et
al., 1997).
Machinability: Neither PC nor reinforced cement concrete can be machined, while
cast iron has high machinability.
Cost: PCs are more expensive than conventional concrete materials (Cortes and
Castillo, 2007).
1.6 Research objectives
The objectives of this research were as follows:
§ Optimisation of the polymeric matrix based on its rheological properties
and its mechanical and thermal characteristics. The optimization is in
accordance with the manufacturing process of PC and the structural
functionality of precision tool machine bases.
§ Identification of the acceptable moisture content in the fillers, based on the
influence of water on the mechanical, thermal and rheological properties of
the polymeric matrix and the PC composite system.
§ Optimisation of PC filler composition based on the manufacturing process
of PC and the structural functionality of precision tool machine bases.
Analysis of the effect of resin and filler volume fractions on the CTE,
14
damping characteristics and mechanical strength of the PC composite
system.
§ The material selection of the present research the was based on cost,
availability and the compatibility with the optimization criteria of PC
precision tool machines base. The results will be compared to each other in
accordance to the selection criteria, no need for benchmarking to be
involved in result comparison.
§ Development of moulding technology, including the optimisation of
mixing and maximum compaction. Identification of maximum allowable
moulding time based on curing studies and the temperature-time
dependant rheological properties of mortars.
§ Implementation of a maturing method, and determination of the
interdependencies between flexural strength, curing time and temperature.
§ Identification of the maturing time of PC and its dependence on
environmental conditions.
1.7 Dissertation outlets
This thesis contains nine chapters as follows:
Chapter 1 – Introduction: This chapter includes an overview of precision
machines, including precision tool machines and milling machines; how PC bases
15
have an essential role in the level of product accuracy; the inherited level of
accuracy when the product of a precision tool machine is used in producing
another product; and the advantages and disadvantages of the different kinds of
materials used in manufacturing bases, such as PC and cast iron. The research
objectives are also included in this chapter.
Chapter 2 – Literature review: This chapter contains a review of the relevant
research and information about the properties of PC composite material in terms
of binding resins and fillers, as well as a review of the use of PC in the
manufacture of bases of precision machines such as CNC grinder tool machines.
Chapter 3 – Materials specifications and testing methodology: This chapter
describes the experimental procedures, experimental set-up, the sample
preparation methods and material specifications used in this research.
Chapter 4 – Optimisation of polymeric matrix: In this chapter the optimal
chemical composition of the mortar is identified using resin’s thermal, mechanical
and rheological properties as criteria of optimization. The manufacturing process
and structural functionality of a precision tool machine base is also considered to
categorise the optimization criteria.
Chapter 5 – Optimization of polymer concrete composition: In this chapter,
various compositions of fillers (basalt, river gravel, spodumene, sand, fly ash, and
chalk) are tested and the results discussed. The outcomes are compared with the
16
guidelines for optimization criteria in terms of the mechanical and thermal
properties of the PC composite system. The preliminary optimum composition is
identified. However, the second in the rank of PC composition is nominated for
further optimization because of its volume fraction of filler and matrix. The final
optimized composition is nominated, and validation of the final composition for
the base of precision tool machines obtained. The validation reveals the effect of
the aggregates composition and resin volume fraction of a PC composite on base
behaviour, with regard to the accuracy level of the precision tool machine.
Chapter 6 – Optimization of moulding technology: This chapter shows how the
moulding technology of PC that has low voids population and reproducible
property is obtained. This includes the application of various frequencies during
the packing operation of a PC sample. The mechanical strength was tested for each
PC sample. The optimum vibration frequency to produce the PC sample that had
the highest mechanical strength was chosen. Three mixing technologies were
proposed and the optimum mixing technology nominated according to the level of
mechanical strength of the PC sample. The relationship between DMA amount
and moulding temperature and maximum moulding time is obtained, based on
the rheological analysis of the resin binder.
Chapter 7 – Influence of moisture on thermal and mechanical properties and the
curing behaviour of a polymeric matrix and PC composite system: This chapter
describes how different volumetric ratios of water were included in the initial
constituents of a polymeric matrix sample and water was induced in aggregates of
a PC composite sample. The mechanical and thermal properties of the matrix and
composite material of PC were tested, and the rheological behaviour of the
polymeric matrix was examined. It was found that the existence of water results in
17
weaker mechanical properties and a slower curing rate for the resin and PC
composite. The only property that improves is the resin damping factor as
moisture increase, which is a negligible improvement compared to the
shortcomings. The minimum limit for allowable moisture is identified. It is
concluded that eliminating moisture to the minimal amount is crucial in order to
maintain the quality and productivity of PC manufactured for precision tool
machine bases.
Chapter 8 –Polymer concrete maturity study: In this chapter, PC samples were
heated for various periods of time under different temperatures. PC samples were
tested for flexural strength with different maturity conditions. The maturity
method was identified and the datum temperature calculated. Mathematical
expressions that predict the correlation of the relative flexural strength with
maturing temperature as well as the time of maturing were evolved. It is
concluded that an increase in temperature by ten times decreases maturing time
by approximately 80%. The presence of moisture during the maturing process was
investigated. It was found that the existence of water diminishes the resin
mechanical properties by two or three times as the maturing temperature
increases, compared with the effect of moisture at the ambient temperature.
Chapter 9 – Conclusions and recommendations for further research: Finally, in
this chapter, conclusions and recommendations are drawn from this research. The
chapter also highlights the limitations and deficiencies and proposes further work
that could be undertaken to address these deficiencies.
18
Chapter 2
2 Literature review
2.1 Introduction
Polymer concrete (PC) is a composite material consisting of well-graded inorganic
aggregates bound using a resin instead of the water and cement binder typically
used in traditional cement concretes. The composite material of inorganic fillers
combined with a binding polymeric resin with a liquid organic resin which
hardens through the polymerisation reaction (Akihama, 1973; Andries, 1965; Ahn,
2004). Usually the binding resin is a thermosetting material curing irreversibly via
cross-linking by radical initiation (Gawdzik et al., 2003). The thermoset polymeric
binder in PC provides a matrix with high thermal, chemical and mechanical
stability, making PC the material of choice for use as high precision tool machine
bases.
19
2.2 Thermosetting material in polymer concrete
Thermoset is a polymeric material in which individual polymeric molecules have
been joined through covalent bonds in specific regions on the molecules. Covalent
bonds are generated by energetically exciting other polymeric molecules end
groups, specific functional groups or by use of monomers (Gawdzik et al., 2003).
The bonding of the molecules, also referred to as cross-linking, produces unique
behaviour, such as a thermal stability that is much higher than that of
thermoplastics. This condition arises because the rigidity of the macrostructure is
maintained through links between the polymers that oppose the flow of molecules
past each other. The mobility of molecules increases at higher temperatures due to
an increase in the energy levels in the molecules, which results in greater material
deflection. However, being one big macro-molecule, flow is not possible (Brunelle,
2008). Generally thermoset is maintained well under the thermal loads, the less
notable are the reductions in mechanical properties due to any temperature
increase. Other unique characteristics that make thermosets very attractive for
many applications include their bonding capabilities, their strength, their thermal
and damping characteristics, their chemical stability and minimal creep (Sidney,
1986). These physical and chemical properties rely on the processing conditions
and on the cross-linking curing reaction that takes place during the process
(Hanemann et al., 2010).
Thermoset material is used in a variety of applications such as paints and
adhesives, and in the automotive, building and packing industries, among others.
Thermosetting resins have been employed in this research project as a binding
resin in PC in order to examine the mechanical, thermal and rheological properties
of PC and the resin.
20
2.3 The use of thermoset material in polymer concrete research
The unsaturated polyester (UPE) resin used as a binder contain cyclohexanone
peroxide as a catalyst and cobalt naphthaenate as an initiator (Strarmenov et al.,
1965). A combination of methyl methacrylate (MMA) with UPE was also used in
PC to examine PC’s mechanical properties (Slomatove, 1970). UPE was also
utilized with MMA and terimethylol propane terimethacrylate (TMPTMA) as a
binder in PC and tested for different mechanical properties at elevated
temperatures.
A combination of UPE–MMA-styrene thermosetting resins was employed as a
binder for the purpose of testing the mechanical properties of PC (Burleson, 1974).
UPE was also used as a binder for PC where methyl ethyl ketone peroxide (MEKP)
was the catalyst and cobalt octoate was the promoter (Ohama, 1973). In another
study, PC containing poly-MMA-styrene resin was utilized to examine PC’s
mechanical properties (Chang and Stephens, 1975). An investigation into the
stress-strain relationship of PC containing UPE compared with two epoxies was
conducted to examine the properties of PC containing different resin binders (El-
Hawary and Abdel-Fattah, 2000). UPE was employed in another investigation in
order to induce additives such as a silane coupling agent, TMPTMA, and divinyl
benzene, which improved the properties of PC (Gorninski et al., 2004). UPE was
also utilized to study the effect of mortar types (orthophtalic, isophtalic) on the
strength degradation of PC in acidic environments (Dharmarajan, 1987, Gorninski
et al., 2007).
21
It is interesting to explore the usage of UPE in PC when combined with various
constituents and their effect on different aspects of PC’s mechanical, thermal and
chemical properties. It is also important to consider other polymers involved as a
thermosetting binder in PC, such as furfural-acetone and ureaformaldehyde. A
combination of furfural (F) and furfural-acetone (FA) monomer (Andries, 1965)
was employed as a mortar in PC, the proportion of F-FA being 1:7. In another
study, furfural acetone (FA) was used as a resin binder (Davydov, 1972 ) and the
PC’s mechanical properties examined. Elsewhere, furan resin was utilized as a
resin binder in PC (Muthukumar and Mohan, 2004). In Alzaydi et al.’s (1990)
study, ureaformaldehyde (UF) was utilized as a binding resin in PC to reduce the
cost of PC which is the resin. It was concluded that the compressive strength of
Portland cement concrete specimens is surpassed by that of ureaformaldehyde
(UF)-PC for a similar binder volume fraction (ALZAYDI et al., 1990).
Another study used UPE produced from recycled PET, which makes it more
attractive in terms of cost (Rebeiz 1996). The mechanical properties of PC
containing UPE produced from recycled PET are lower than those for UPE made
from virgin material. The UPE produced when using recycled PET may become
suitable for manufacturing the PC base, if the application requirements is fulfilled
by justify the structural design of the PC base and the aggregates composition of
the PC towards fulfilment of the application requirements such as low CTE and
high damping ratio, and this is a subject to future research outcomes. Structural
wise it is suitable for manufacturing the PC base other related parameter need to
be researched. It is also suitable for a construction application since it
demonstrates a higher level of mechanical strength than conventional concrete.
22
Numerous researchers have investigated different kinds of epoxy resins as a
binder for testing the mechanical and chemical properties of PC. Epoxy was used
as a mortar in various proportions of epoxy resin to PC (Welch et al., 1962) to
investigate its effects on the mechanical properties of PC. Epoxy was also
employed as a binder in PC, where creep studied , and a mathematical model was
developed to describe the creep behaviour in PC containing epoxy as a binder
(Broniewski and Jamrozy, 1975). Other researchers have utilized epoxy as a binder
in PC, investigating the effect of environmental temperature and NaOH
concentration on corrosion behaviour, and the corrosion mechanism of epoxy and
UPE in NaOH solution (Hojo et al., 1986, Reis, 2010). The effect of three
freeze/thaw thermal cycles for 7 days on the strengths of the optimized PC was
investigated experimentally and epoxy was used as the resin binder to find the
level of thermal cycles which influence the mechanical properties of PC (Shokrieh
et al., 2011).
2.3.1 The use of thermosetting binder in manufacturing PC base precision
tool machine
A wide range of thermosetting resins can be used as a binder for the PC used in
manufacturing the bases of precision tool machines, namely epoxies (Lu et al.,
2006), unsaturated polyester (UPE), furan (Andries, 1965) and polyurethane
(Michel, 2007). The most common thermosetting binders in PC are epoxies and
unsaturated polyester. Epoxies exhibit high strength (Lau and Buyukozturk, 2010),
low shrinkage, low coefficient of thermal expansion (CTE), and provide toughness
as well as resistance to chemical and environmental damage in comparison to UPE
(Kim et al., 1995).
23
Unsaturated polyester (UPE) provides good adhesive properties, relatively lower
strength, a higher coefficient of thermal expansion and higher shrinkage than
epoxy (Fowler, 2003). In addition, UPE is less expensive than epoxy and when
MMA is involved in the composition of the resin, at the early stage the initial
viscosity is low compared to epoxy (Vipulanandan and Paul, 1990), providing
sufficient mixing to enhance the process of the aggregate-resin mixing. In addition,
PCs containing poly methyl methacrylate (PMMA) as a binder showed a high
modulus of elasticity (Mun and Choi, 2008) and a very low thermal coefficient of
expansion (Blaga and Beaudoin, 1985), making MMA a good candidate to control
and balance the rheological, mechanical and CET characteristics of the binding
polymer in PC. The cost effectiveness, the potentially good thermal, mechanical
properties and the good process for mixing aggregate and resin are the main
drivers for research into UPE/styrene/MMA monomeric composition. The main
function of thermoset material is the binding resin in the PC composite system for
use in the bases of precision tool machines. The main reason for optimization of
PC used in precision tool machine in this research is to elevate the precision level
by inducing enhanced mechanical properties resin binder in the PC according to
the application requirements. Also obtain a flexible and low cost manufacturing
process of the precision tool machine PC base for further enhancement to the
mechanical strength.
2.3.2 Unsaturated polyester and copolymers
In general, the UPE structure varies, being defined by the repetitive carbon-carbon
double bond between carbonyl groups. UPE polymers have a number of average
molecular weights within the range of 800-3000 units. A generalized
representation of the UPE chemical structure is shown in Figure 2.1.
24
OO
O
O
n
Figure 2.1 A Generalized chemical structure of unsaturated polyester molecule.
Styrene is another monomer used as it has the benefit of being low in cost. Styrene
polymerize very actively with UPE at room temperature, show a higher rate of
polymerization at elevated temperatures, and have low viscosity. Styrene’s
chemical structure is shown in Figure 2.2.
Figure 2.2 Styrene chemical structure.
Other applications utilise monomers that are used to induce the co-polymerization
of UPEs. Their applications are shown in Table 2.1(Sidney, 1986).
25
Table 2.1 Examples of some non-styrene monomers used in UPEs.
Monomer Application Applications
Methyl methacrylate (MMA) Enhanced weather resistance
Butyl acrylate (BA) Enhanced weather resistance
Butyl methacrylate (BMA) Enhanced weather resistance
Alpha methyl styrene (AMS) "Cooler" cure, reduced exothermal
Vinyl toluene (VT) Less volatility, higher flash point
Para-methyl styrene (PMS) Less volatility, higher flash point
Octyl acrylamide (OAA) Solid monomer, moulding compounds
Methyl methacrylate (MMA) is a low viscosity monomer, clear liquid that
polymerises with UPE as a result of cross-linking in the presence of an initiator
such as MEKP. Mixing MMA with UPE results in low viscosity resin at the early
stage of curing which is enhanced the mixing performance of resin with the
aggregates. In addition PC containing poly (methyl methacrylate) as a binder
showed high modulus of elasticity (Mun and Choi, 2008) and very low thermal
coefficient of expansion (Blaga and Beaudoin, 1985). It also induces additional
properties in PC such as fast setting and low temperature hardening (Ohama et al.,
1981, Paul et al., 1973), leading to potentially good mechanical properties in PC
bases containing UPE/MMA composition. Figure 2.3 shows the chemical structure
of MMA.
26
CH2O
CH3
CH3
O
Figure 2.3 Chemical structure of MMA (monomer).
When the initiator is added, a free radical is produced that can interact with the
UPE carbon double bonds (C=C) and styrene molecules as well as MMA, creating
new radicals (Gawdzik et al., 2003). These new free radicals can then react with
other C=C double bonds, propagating the reaction and creating junctions that will
result in a cross-linked network (Sidney, 1986). methyl ethyl ketone peroxide
(MEKP) was used as an initiator and dimethyl aniline (DMA) as an accelerator to
increase the curing rate (Gawdzik et al., 2003). Figure 2.4 shows the chemical
structure of MEKP and Figure 2.5 shows the chemical structure of DMA.
O
CH3
O
CH3
OH OH
Figure 2.4 Chemical structure of MEKP(initiator).
27
N
CH3 CH3
Figure 2.5 Chemical structure of DMA
Cobalt octoate can be used as a promoter to increase the activity of a given
initiator (MEKP). The promoter helps in the decomposition of the initiator,
delivering radicals at low temperatures by producing low-level activation energy
for radicals to start the cross-linking, and initiates quickly. Figure 2.6 shows the
chemical structure of cobalt octoate.
O
O-
O
O-
Co2+
Figure 2.6 Chemical structure of cobalt octoate (promoter)
28
2.4 Polymer concrete containing UPE-MMA as a resin binder
The addition of methyl methacrylate (MMA) to UPE has been investigated by
Slomatove (Slomatove, 1970). The following observations were made: the addition
of MMA to UPE provided an increase in weathering resistance, strength increased
with time, and increase in shrinkage occurred in the polymer concrete using an
MMA-UPE resin composition. The increase of shrinkage in MMA-UPE resin
composition is due to the high shrinkage of UPE. In another study, a highly
graded aggregate mixture with MMA-TMPTMA (terimethylol propane
terimethacrylate) monomer was successfully designed. The PC was cured at 163
°C and tested at different temperatures, and the results are shown in Table 2.2
(Kukacka and Depuy, 1974).
Table 2.2 Mechanical properties of polymer concrete, resin is MMA – TMPTMA at various temperatures (Kukacka, 1973).
Testing
temperature °C
Compressive
Strength Mpa
Split Tensile
Strength Mpa
Modulus of
Elasticity Gpa
Poisson’ Ratio
-15 170,91 10.4 42.05 0.24
70 135.135 9.86 36.4 0.23
190 97.21 9.45 30.61 0.22
It was concluded that environmental temperatures greatly affect the mechanical
properties of PC.
29
2.4.1 UPE produced from recycled PET used as a binder in PC
The purpose of utilizing polyethylene terephthalate (PET) waste is to reduce the
high cost of PC which derives from the resin, and to dispose of the waste. Rrbeiz
investigated the strength properties of PC made using UPE made of recycled PET
plastic (Rebeiz 1996). It was found that PC could develop 80% of its final strength
in one day, with a compressive strength of 90 MPa and a flexural strength of about
20 MPa. The PC did not demonstrate a great loss in strength when tested at high
temperatures, and remained quite strong in compression and flexure when
compared to conventional concrete. Another study with a similar purpose
investigated different parameters (Jo et al., 2008) such as strength and resistance
to the acid and alkali compounds of PC, measured using differing coarse and fine
aggregate ratios and resin content. It was found that the strength of PC made
using UPE produced from recycled PET and recycled aggregate increases with
increasing resin content. The stress–strain curves of PCs with 100% natural
aggregate compared to 100% recycled aggregate exhibited different failure
mechanisms. In relation to acid resistance, the polymer concrete at 9% resin was
hardly affected by the Hydrochloric acid (HCl), whereas the PC containing 100%
recycled aggregate showed poor acid resistance. Unlike acid, the contents of the
alkali compounds did not seem to attack the PC with 100% recycled aggregate, as
could be observed from the weight change and the compressive strength (Jo et al.,
2008).
In a study conducted by Jo et al, both short-term and long-term creep models were
developed incorporating various types of filler (CaCO3 and fly ash) (Jo et al.,
2007). The difference between the proposed model and the experimental long-term
creep compliance was less than 4%. The creep strain in the early stages increases in
PC more rapidly than in ordinary concrete. The creep strain of PC without filler
30
was much higher than that of PC with filler CaCO3, which was more effective
than fly ash. The creep values increased with an increase in applied stress,
although the values were not proportional to the stress ratio, because of the
nonlinear viscoelastic behaviours of recycled PET in polymer concrete (Jo et al.,
2007). This result is partially consistent with the results of (Mahdi et al., 2007),
specifically in relation to the effect of resin volume fraction on mechanical
strength.
In similar research, Reis (2011) utilized PTE as aggregate and the mechanical
properties were measured. The fracture properties of PC composites were
investigated by adding shredded PET as filler, employing UPE and epoxy as a
resin binder individually. Both resin binders (UPE and epoxy) were produced
from virgin material (Reis, 2011). Shredded PET was used as a partial substitute
for natural fillers. The ratios of induced PET in the PC filler composition were 5%,
10%, 15% and 20% by weight. It was observed that a reduction of a specific weight
resulted as the PET filler ratio increased. As the PET content rose through each test
series, the PC material became more ductile and showed less brittle failure. Any
level of shredded PET adversely affected the fracture toughness and elasticity
modulus in both epoxy and UPE mortars. This improvement occurred in the
fracture energy for both epoxy and UPE polymer mortars when shredded PET
aggregates were added to the mixture as a substitute for natural filler. This
substitution produced a PC composite with high energy absorption that could be
used for structures under dynamic and impact conditions (Reis, 2011).
(Mahdi et al., 2010) conducted another investigation with a similar focus where
parameters such as PET-glycol ratio, dibasic acids and initiator promoter
combinations were studied, and their effects on mechanical properties, such as the
31
compressive stress of the UPE produced from recycled PET were investigated. The
UPE produced by using recycled PET plastic waste was depolymerised through
glycolysis. The initiator promoter combinations used were methyl ethyl ketone
peroxide (MEKP) and cobalt naphthaenate (CoNp) in one group of sets, and
benzoil peroxide (BPO) and N, N-diethyl aniline (NNDA) in the other group, as
shown in Table 2.3. for each set. The compressive strength of resin and PC
produced with MEKP as the initiator is more than the compressive strength of
resin and PC produced with BPO initiator (Mahdi et al., 2010). The compressive
strength of resin as well as PC produced with a PET to glycol ratio of 2:1 is usually
more than that of 1:1. The resin and PC produced with a PET to glycol ratio of 2:1
used maliec and phthalic anhydride as diabasic acids and MEKP and CoNp as
initiator and promoter produced a high compressive strength. The split tensile
strength of PC is either equal or more than the tensile strength of the equivalent
grade of cement concrete. It was concluded that set numbers 1, 2, 5 and 6 were
better than the rest in terms of compressive strength, split tensile strength,
morphology of the material and thermal stability as shown in Table 2.3 for each
set. The compressive strength of resin and PC produced with MEKP as the
initiator is greater than the compressive strength of resin and PC produced with
BPO initiator (Mahdi et al., 2010). The compressive strength of resin and PC
produced with a PET-to-glycol ratio of 2:1 is usually more than 1:1. The resin and
PC produced with a PET-to-glycol ratio of 2:1 used maliec and phthalic anhydride
as dibasic acids and MEKP and CoNp as initiator and promoter produced a high
compressive strength. The split tensile strength of PC is either equal to or more
than the tensile strength of the equivalent grade of cement concrete. It was
concluded that set numbers 1, 2, 5 and 6 were better than the rest in terms of
compressive strength, split tensile strength, morphology of the material and
thermal stability as shown in Table 2.3 (Mahdi et al., 2010). These various results
are important for establishing future research for PC precision machine bases
32
employing UPE produced from recycled PET that may accommodate the
application requirements. The most important parameters that need to be
investigated are the damping ratio and CTE of the binding resin as well as the PC
composite system.
Table 2.3 Different combinations of PET-to-glycol ratio, dibasic acids and initiator promoter for UPE made from PET waste (Mahdi et al., 2010).
Set C hem ica l co m binations o f U PE m ade o f recyc led PET
1
2
G ro up – I D ibasic acid maliec anhydride and phthalic anhyd ride Initiator Benzoil p ero xide , promo ter N , N -d ie thyl an iline P ET -to-glycol ratio 1:1 P ET -to-glycol ratio 2:1
3 4
G ro up – II Dibasic acid maliec anhydride , Initiator ben zo il peroxid e P rom oter N , N -diethyl aniline P ET -to-glycol ratio 1:1 P ET -to-glycol ratio 2:1
5 6
G ro up – III Dibasic acid m aliec anhydride and phthalic anh yd rid e Initiato r methy l eth yl ke tone per oxide (M E KP) Prom oter cobalt naphthanate (C oN p) PE T-to-glycol ratio 1:1 PE T-to-glycol ratio 2:1
7 8
G ro up – IV Dibasic acid m aliec anhydride Initiato r methy l eth yl ke tone per oxide (M E KP) Prom oter cobalt naphthanate (C oN p) PE T-to-glycol ratio 1:1 PE T-to-glycol ratio 2:1
33
2.4.2 Improve the damping properties of UPE polymeric matrix
When a rubbery phase is introduced into a polymeric matrix, the mobility of the
rubber molecules enhances the dissipation of vibration energy in the resin domain
(Cherian and Thachil, 2003, Pachpinyo et al., 2006). Synthetic and natural rubbers
and elastomers in solid and liquid forms have been applied to improve UPE
damping properties. Rubbers such as natural rubber latex (NRL) (Pachpinyo et al.,
2006) and styrene-butadiene rubber (SBR) (Ray, 2008), and functional elastomers
such as hydroxyl terminated polybutadiene, epoxidized natural rubber, hydroxyl
terminated natural rubber, and maleated nitrile rubber (Cherian and Thachil,
2003) have been used to enhance UPE damping properties.
Polyoxypropylenetriamine (POPTA) was employed combined with temperature
during curing to optimize the damping factor and mechanical properties of UPE
(De La Caba, 1999). In addition polyhedral oligomeric silsesquioxanes (EA-POSS)
was used to improve the damping behaviour and other mechanical properties of
UPE (Gao et al., 2009). These modifications increased the toughness and tensile
strength of the UPE resin. The dissimilarity of the rubbery and resin phases results
in miscibility problems which researchers have attempted to solve using
copolymerizing terminal groups (Maspoch and Martinez, 1998) and dispersants
and solvents (Pachpinyo et al., 2006). Copolymers of UPE and polyurethanes
(Cherian et al., 2006), polyureas, polysiloxanes, polyimides or polyglycols also
produce resins with improved damping properties (Bucknall, 1992).
Butadiene as vinyl monomer has also been employed to modify UPE resin’s
mechanical properties for the purpose of improving the damping properties of
UPE (Rodriguez, 1993). Including a rubbery phase into a polymeric matrix of PC
base by inducing materials such as NRL and SBR could increase the CTE of the
resin binder. This may resulted into increase the CTE of PC base of precision tool
34
machine which has a negative impact on the accuracy level of the precision tool
machine.
2.4.3 Effect of curing on mechanical properties of UPE
Curing and processing conditions also have a significant effect on UPE mechanical
properties. The literature suggests that varying the resin curing rate via the curing
temperature or the initiation mechanism or post-curing heat treatment of the resin
affect the UPE damping properties (Liu et al., 2002).
Li et al. (2004) studied the effect of high temperature curing and post-curing heat
treatment on the micro-heterogeneity of UPE and its effect on its mechanical
properties (Li et al., 2004). Kim et al. (1995) used UV initiation curing UPE and
found that the type and the amount of photo initiator affects the level of
improvement in mechanical properties (Kim et al., 1995). Sanchez et al. (2000)
showed that the styrene ratio in the UPE pre-polymerization mixture affects the
phase continuity of resin after curing due to the limited miscibility of polystyrene
in UPE (Sanchez et al., 2000). This phase separation can be affected dramatically
by curing temperature (Zheng et al., 1988).
35
2.5 Fillers in polymer concrete
Fillers occupy 80-85% of PC and they form the mechanical properties of the PC,
depending on filler proportion, the morphology of the aggregate, the particle size
distribution and the mechanical and thermal properties of the fillers. Different
kinds of fillers are used for PC that can be classified as natural and non-natural.
The main purpose of investigating a single filler or group of fillers is to enhance a
single mechanical or thermal property or group of mechanical and thermal
properties in a PC. The most common combination of aggregates is basalt, river
gravel, sand and chalk (Ohama, 1979, Burleson, 1974, Atta et al., 2005). Fly ash has
been employed in PC as filler in various research studies, as it enhances PC’s
mechanical properties (Semiha and Cengiz 2011, Demirboga and Gul, 2003,
Varughese and Chaturvedi, 1996). Portland cement Type II has been used as a
filler in PC for the purpose of improving PC’s mechanical properties (Tolbert and
Hackt, 1979). Siliceous aggregates, ground chopped glass and graded round iron
have been included in PC as fillers (Brocard and Cirrode 1967). PET waste has
been utilized as a filler as a way of recycling this material effectively (Reis and
Carneiro, 2011). Trap rock was employed as a filler in PC produce a higher
strength PC than other types of aggregate and Type I cement enhances the
strength considerably when replacing gypsum (Helal, 1978).
2.5.1 Effect of fillers on polymer concrete properties
The filler have a great effect of mechanical properties of PC composite system
because filler morphology forms the interfacial bonding and the adhesive of
binding resin with aggregates. In addition the fillers morphological, thermal and
mechanical properties have an effect of PC thermal, mechanical properties. The
use of siliceous aggregates, ground chopped glass and graded round iron was
36
investigated as fillers for PC (Brocard and Cirrode 1967). It necessitated a higher
resin volume fraction of 15% due to an increase in the surface area of the
aggregates, a compressive strength of 85 MPa, a modulus of rupture 16.69 MPa, a
dynamic modulus of 28.24 GPa and a static modulus of elasticity of 18.24 GPa. The
coefficient of thermal expansion (CTE) was 22×10-6 °C-1. Shrinkage and water
absorption were minimal. The aggregates as filler have not been used since the
results demonstrated that the addition of non-natural aggregates failed to improve
the strength. Upon examining the results obtained when employing this group of
fillers, it was reasonable to claim that the those kinds of fillers are not suitable for
manufacturing a PC base for precision tool machine due to high CTE and low
mechanical strength.
Ohama (Ohama, 1979) conducted another filler study, four coarse aggregates were
used to prepare PC samples to be tested for compressive strength using UPE as a
mortar. Each sample showed different results for compressive strength when the
volume fraction of coarse aggregates was varied. It was found that increasing the
compressive strength of coarse aggregates tends to increase the compressive
strength of polymer concrete (Ohama, 1979) and that increasing the volume
fraction of coarse aggregates tends to decrease the compressive strength of
polymer concrete.
In another study, shrinkage-free PC was achieved by dispersing small amounts of
the mineral montmorillonite into the resin (Haque and Armeniades, 1985). It was
found that the resin interacts with the hydrated mineral, creating expansion forces,
which counteract epoxy resin shrinkage. It was concluded that the addition of
0.2% of montmorillonite or less produced shrinkage-free PC composite systems
with a flexural strength 30% greater than the corresponding conventional PC. A
37
higher level of montmorillonite content created PC systems that expanded upon
curing or generated hydrostatic pressure during a constant-volume cure (Haque
and Armeniades, 1985). Montmorillonite filler could contribute to a shrinkage-free
PC base, but it is not available in Australia, making montmorillonite quite costly.
In another filler-focused study fly ash was introduced to PC as fine filler, granite
was used as a coarse aggregate, and river sand was the middle-sized aggregate.
The binder was epoxy and PC properties such as cure time, flexural strength and
resistance to water absorption were compared with PC containing river sand
(Varughese and Chaturvedi, 1996). Flexural strength, curing time and resistance of
water absorption were measured for both the fly ash samples and the river sand
samples. It was concluded that fly ash could be used as a fine aggregate to
partially or fully replace ordinary river sand in PC systems. The flexural strength
of PC was improved as the fly ash weight fraction increased. PC containing fly ash
needed a slightly shorter time to cure than the PC containing river sand. When fly
ash was increased to just below 50%, water absorption was equal to that of PC
containing river sand (Varughese and Chaturvedi, 1996).
Rebeiz et al. (2002) conducted a further study, in which fly ash was investigated as
a replacement for sand in PC (Rebeiz et al., 2002). It was demonstrated that the
replacement of 15% by weight of sand with fly ash improves the compressive
strength of unreinforced PC cylinders by about 30% and the flexural strength of
steel-reinforced PC beams by about 15%. Other improvements in properties were
relatively minor and included the tensile bond strength of PC under thermal
cycling and the creep compliance of the PC under sustained loading. This may be
because fly ash achieves better workability than sand. The morphology of the
particles is fine and the spherical particles of fly ash provide the fresh PC mix with
38
improved lubricating properties. The use of fly ash may also produce optimum
packing conditions for the different ratios of sand and fly ash during casting, thus
resulting in a more homogeneous and compact final PC product. The replacement
of sand with fly ash did not have an impact on the shear strength of PC (Rebeiz et
al., 2002).
Sofi et al. (2007) investigated numerous aggregate compositions in an effort to
assess the effects of the inclusion of coarse aggregates and granulated blast furnase
slag into a polymer composite system (Sofi et al., 2007). The engineering properties
of inorganic PC (referred to by the authors as IPC) include the modulus of
elasticity, Poisson's ratio, compressive strength, splitting tensile strength and
flexural strength, which were then compared with organic polymer concrete
(referred to by the authors as OPC). All tests were executed according to the
relevant Australian Standards. It was observed that for an IPC density similar to
OPC-based concretes, the average compressive strengths of IPC for different
compositions were sufficiently close to the design strength, with a mean of 52.4
MPa. The difference between the splitting tensile and flexural strength of the IPC
mixes was approximately 2.0 MPa. An evaluation of the static modulus of
elasticity of the IPC mixes was compared predominantly with models reported for
higher strength concretes. It was found that, similar to OPC-based concrete, most
mechanical properties depend upon the mix design and curing method (Sofi et al.,
2007). The results reported for this research were considered by the researchers to
be preliminary to long-term experimental work in the field of IPC. The researchers
advised that further research would be carried out in future using mix
compositions, including coarse aggregates with or without granulated blast-
furnace slag to reinforce the validity of the research (Sofi et al., 2007).
39
Barbuta et al. (2010) investigated the effect of fly ash on compressive strength,
flexural strength and split tensile strength. The results showed that the influence
of fly ash and silica fume contents on the mechanical properties of PC containing
epoxy resin as a binder was positive (Barbuta et al., 2010). The filler improved the
mechanical characteristics of PC compared to that of polymer concrete without the
investigated filler. The effect of variations in the filler compositions (100, 150,
200%) of silica powder and variations in epoxy resin (10, 15 ad 20%) on the
mechanical properties of PC was investigated. Compressive, flexural and tensile
strengths were tested. PC samples with 15 and 20% epoxy resin and 200% filler
(15% fine silica powder, 25% medium size silica powder and 60% coarse silica
powder) had maximum mechanical strengths. The values of compressive, flexural
and tensile strengths were 128.9, 22.5 and 16.2 MPa respectively(Barbuta et al.,
2010).
2.6 Properties of polymer concrete composite system
Flandro (1960) initiated the research into providing an alternative material to
Portland cement in concrete as a paster, which is PC resin. Numerous mixes and
curing procedures were investigated, using polyester resin as a binder (Flandro,
1960). A modulus of rupture of approximately 5.515 MPa and a compressive
strength of 110.316 MPa were achieved with the optimum mix resin weight of
267.55 kg resin per cubic meter. Oven cured at 176.6 ºC. In a similar study, the
epoxy was used as paster in PC for various proportions of epoxy resin (Welch et
al., 1962). Different volume fractions of epoxy resin were sampled using ¾ basalt
to sand as an aggregate composition for PC. The best result was accomplished
with the epoxy resin at 15% volume fraction. A compressive strength of 76.87
MPa, and a modulus of elasticity of 32.267 GPa were achieved when cured at
40
ambient temperature for 28 days. PC using UPE resin as a binder has also been
studied (Strarmenov et al., 1965). The aggregate was fine silica and sand. The resin
volume fraction was 16 %, containing cyclohexanone peroxide as a catalyst and
cobalt naphthaenate as an initiator. The following results were obtained: the PC
was sampled using 7×7×7 cm cubic moulds, and cured for 3 days. The
compressive strength achieved was 117.6 MPa and the flexural strength was 33.8
MPa.
Knab (1969) studied the discrepancy of load rate on the behaviour of polyester
concrete studied for both the long and short term (Knab, 1969). A mathematical
model was developed for the purpose of predicting long-term deflection.
Significant deformation occurred under both long and short-term loading, which
indicated a limitation on the use of polymer concrete in construction. Another
study where the PC was composed of 7-8% FA monomer, 1.5-2% benzene acid, 55-
57% granite chippings, 24-25% quartz and 9-10% micro filler(Andries, 1965). The
following results were obtained from the experimental PC: specific weight was
2.19-2.5 g/cm3, compressive strength was 67.56-96.52 MPa and tensile strength
was 2.19-2.5 MPa. A temperature variation test for 300 cycles between -30°C and
80°C showed a reduction in compressive strength of PC 50%-40% and 80%-85% in
tensile strength. Based on those results the PC containing a combination of
furfural (F) and furfural-acetone (FA) monomers suitability for manufacturing the
PC base of precision tool machine is subject to the investigation of application
requirement such as CTE flexural strength and damping properties. The
compression strength and tensile seem to be acceptable. A particular modification
on the structural design of the frame and the PC base precision tool machine also
further reinforcement is required for the same purpose. This procedure is to
41
accommodate the high deflection in long and short term loading and low
mechanical properties of PC consist of FA as a resin binder.
Burleson (1974) investigated unsaturated polyester UPE–MMA-styrene
thermosetting resin as a binder for PC for different aggregate grading (Burleson,
1974). Various resin proportions were added to fire retardants, until the optimum
mix was reached. Samples were cured at room temperature for 24 hours. Fine
sand was used as aggregate and the compressive strength was 145 MPa. The
flexural tensile strength was 32.61 MPa and the flexural modulus of elasticity was
10.06 GPa. The resin weight percentage was 20%. Using a larger-sized aggregate
(maximum size 12mm) and 8.3% resin weight percentage, the compressive
strength was 47.118 MPa, the flexural tensile strength was 14.3 MPa and the
flexural modulus of elasticity was 19.02 GPa. It was concluded that the PC was
cost-effective because of the low percentage of resin, which is the most expensive
ingredient.
Ohama (1973) performed another investigation where the mechanical properties
of polymer concrete were examined. The binder used was UPE. MEKP was the
catalyst and cobalt octoate was the promoter. The mix design included a resin
weight of 22.5%, 29.1% of 5-20 mm gravel, 9.5% of 1.2-5 coarse river sand and
83.8% of fine sand. Samples were cured at room temperature for one day, soaked
with water for six days, and then left at room temperature for seven days. The
outcome was the same strength regardless of the curing condition. Compression
strength and split tensile strength were 98 MPa and 9.8 MPa respectively (Ohama,
1973).
42
Chang and Stephens (1975) conducted a study in which the mechanical properties
were investigated of PC containing MMA-styrene monomers, with sand and
gravel as aggregates, the focus of the study was the creep Type I cement was used
as filler. The optimum resin content was 9% weight percent. The curing took place
at room temperature for four hours. The highest compressive strength was 106
MPa, the flexural strength was 24.5 MPa and the split tensile strength was 10.755
MPa. Under 10-20% of compression strength, creep was measured. Creep
increased as the resin percentage increased. The increase of temperature also
increased the creep, particularly at 40°C the creep increased sharply. Below 40°C,
creep increased almost linearly with stress (Chang and Stephens, 1975)..
Another study by Suzuki (1975) used a fire test on PC containing UPE; the model
dimensions were 1.52 × 1.85 × 3.2 m. No fire retardant was added to the resin.
Wall and floor thicknesses varied between 8-3 cm, the fire load used was 13
kg/m2, which is less than average in an ordinary building. A temperature of 500°C
was recorded after 8.5 minutes, yet no structural damage occurred. Another fire
load was tried with 24 kg /m2. Tests resulted in some cracks occurring on the
surface of the wall, yet no collapse occurred. At a load of 35 kg/m2, heavy sooty
smoke was released. The temperature reached 1000°C after 9 minutes and the
walls caught fire. The model collapsed after 29 minutes. Introducing Dawsonite
fire retardant did not improve the fire resistance (Suzuki, 1975).
Flame resistance of PC has also been tested (Prin and Cubaud, 1977). The flame
was originally from a propane-oxygen burner with a discharge of 5m³/hr located
20 cm below the shell with a circular fan of 80 cm in diameter and a temperature
of 3000°C. The gel coat burned instantly and ten minutes later the concrete started
burning, but only above the flame. The silica aggregates decomposed but the face
43
opposite to the exposed surface did not heat up. After half an hour, the
temperature on the opposite face had risen to 10°C above the ambient
temperature. One hour later it accelerated to 30°C. As evident in the experiments,
resistance to flame was elevated and the heat propagation through the PC was
delayed. This research on fire was valuable since it provided a figure for a PC base
of a precision machine when under fire.
Hojo et al. (1986) investigated the effect of temperature and NaOH concentration
on corrosion behaviour; the corrosion mechanism of epoxy and UPE resins in
NaOH solution. Resins researched in this study were two types of epoxy: phenol-
A hardened with methyl-tetrahydrophlic (MTHPA), and epoxy using the same
base with 1.8-p-mentandiamne (MDA) as a hardener and isophthalic unsaturated
polyester. Epoxies and unsaturated polyester resins were immersed in NaOH in
different concentrations for different temperatures. It was found that epoxy resin
hardened with MDA demonstrated no degradation during the immersion because
of its stable crosslink. Epoxy hardened with MTHPA demonstrated a uniform
corrosion with the dissolution of the surface. Increasing the temperature increased
the corrosion penetration through the resin. PC containing UPE was corroded
with colour conversion and the resin surface softened like rubber (Hojo et al.,
1986). The rate of corrosion could be controlled by diffusion of the solution
through the resin surface. The corrosion mechanism was similar to the metal
corrosion. A formula for predicting the strength of resin after immersion was
developed, consisting of the effect of temperature and the concentration of NaOH
solution by applying the corrosion rate.
C. Vipulanandan and Eliza Paul (1990) studied the behaviour of epoxy and
polyester PC when applying various curing temperatures (22 and 120
44
°C)(Vipulanandan and Paul, 1990), and the influence of aggregate sizes and
distribution on the mechanical properties of PC when the strain rate was varied
between 0.01%-0.6% per minute. It was found that the gap-graded aggregates
produce polymer concrete with better mechanical properties. The behaviour of
both PC epoxy based and PC polyester based are definitely influenced by the
curing condition and testing temperature.
In another study by C. Vipulanandan and Eliza Paul (1993), they studied the
compressive and tensile properties of polyester polymer and polymer concrete
under various curing conditions, temperatures, and strain rates. The curing
temperature was varied from room temperature to 80°C. The strain rate was
varied between 0.01% to 60% strain per minute and the temperature between 22°C
and 120°C (Vipulanandan and Paul, 1993). It was concluded that the optimum
curing conditions for polymer and polymer concrete were different. The strength,
failure strain, modulus, and stress‐strain relationship of polyester polymer and
polymer concrete were also influenced by the curing method, testing temperature,
and strain rate to varying degrees. The influence of test variables on the
mechanical properties of polymer binder and polymer concrete was quantified.
Pre-treating the aggregates with a silane coupling agent further enhanced the
compressive and tensile strength of the polymer concrete. (Vipulanandan and
Paul, 1993).
Czarnecki, L. et al. (1999) investigated the thermo mechanical properties of PC
containing polyester and epoxy as a polymeric binder, and the statistical
evaluation of the heterogeneity of polymer concrete was presented. It was found
that a material model based on quadratic functions formed a suitable basis for the
optimization of polymer concrete (Czarnecki, 1999). A comparison analysis of the
45
material models of the two main types of polymer concrete, epoxy and polyester
concrete, was also conducted. The overall desirability function was then used as
the metric for the multi-criteria optimization of polymer concrete. This
optimization process was applied to several PC composites, including polyester
concrete with silica fume, highly-filled polyester concrete that reduces material
costs, and epoxy concrete with low flammability and combustibility. Experimental
validation of the results of the optimization process was also conducted. It was
found that compressive strength, flexural strength, and the modulus of elasticity
were almost the same for both polyester concrete, epoxy concrete and,
surprisingly, CTE. The research done for this thesis does not agree with these
results (Czarnecki, 1999).
While it is important to explore the literature in terms of the mechanical and
chemical properties of PC, it is also interesting to review the moisture effect and
how to deal with it in PC. Ahn (2004) performed an investigation in which the
mechanical properties of PC made with wet aggregates was improved (Ahn,
2004). Zinc dactylate (ZDA) and calcium dactylate (CDA) were each used as an
additive to the resins (two epoxies). The variables were the amount of dactylate
monomer and the aggregate conditions (wet or dry). The compressive strength,
flexural strength, workability, working time, and curing time were measured.
ZDA was found to improve the workability. The working time and CDA were
also found to improve the compressive and the flexural strength when the PC mix
had wet aggregates (Ahn, 2004).
The moisture sensitivity of UPE and acrylic PCs with commercial metallic
monomer powders have been evaluated (Ahn, 2006). PCs containing different
levels of these powders were investigated with respect to the properties of
46
hardened PC. The mix design was optimized for workability and strength,
depending on the resin viscosity, the intended use and the additional quantities of
the polymeric materials. The properties investigated included the compressive
and flexural strengths of hardened PC. These polymeric materials offer the
possibility of using wet aggregates in polyester and acrylic PC construction. It was
concluded, after conducting a number of experiments, that the resistance to
moisture was improved substantially with the addition of ZDA and CDA.
Aggregate at a 0.5% moisture level with the addition of 5.0% of ZDA
demonstrated an increase of 122% in the flexural strength and 50% in the
compressive strength. At a 0.5% moisture level and with the addition of 5.0%
CDA, increases of 38% in the flexural strength and 11.7% in the compressive
strength over the control were obtained for the MMA-based PC system. The
remarkable increase in strength indicates that ZDA and CDA may allow for the
possibility of using wet aggregates in PC construction (Ahn, 2006). This research
may be essential in a situation where wet aggregates are used in the manufacture
of a PC base. ZDA and CDA are both very costly to implement in a production
environment where it is necessary to reduce the cost of manufacturing PC bases.
Gorninski et al. (2004) examined the modulus of elasticity of PC compounds
manufactured using two types of binders: orthophtalic or isophtalic UPE
(Gorninski et al., 2004). The compositions used were selected from the available
literature on PC compositions. Based on those data, the polymer concentrations
used were 12% of orthophtalic UPE and 13% of isophtalic UPE by weight of dry
materials. Fly ash was used as filler and compositions with 8%, 12%, 16% and 20%
of ash by weight of aggregate were studied. Statistical analysis of the data
revealed that the type of resin and the concentration of fly ash, both individually
and in combination, have a significant effect on the modulus of elasticity of PC.
47
The effect of UPE type (orthophtalic, isophtalic) and micro- filler fly ash
concentration levels on the strength degradation of PC in acidic environments has
also been investigated (Gorninski et al., 2007).
Shokrieh et al. (2011) investigated the effect of three freeze/thaw thermal cycles on
optimised PC. The criteria for optimization were epoxy resin weight fraction,
chopped glass fibre and percentage aggregate size for the highest compressive and
flexural strength that gained. The effect of three freeze/thaw thermal cycles: 25 °C
to 30 °C (cycle-A), 25 °C to 70 °C (cycle-B) and -30 °C to 70 °C (cycle-C), applied for
7 days on the strengths of the optimized PC was experimentally investigated. A
comparison was made of the experimental results for the mechanical strengths
measured at room temperature. It was found that heating and cooling cycles did
not influence the compressive strength of the optimally-designed PC. On the other
hand, the bending strength was more influenced by exposing PC to thermal cycle-
B (Shokrieh et al., 2011).
Weena Lokuge and Thiru Aravinthan (2013) investigated the mechanical
properties of PC composed of three types of resin (polyester, vinyl ester and epoxy
resin) when combined with different proportions of fly ash and sand. Three types
of resin (polyester, vinylester and epoxy resin) were combined with fly ash and
sand to make the organic polymer concrete mortar (Lokuge and Aravinthan,
2013). The effect of the polymeric binder, sand and fly ash contents on the
compressive strength, flexural strength, split tensile strength, modulus of elasticity
and ductility of polyester, vinylester and epoxy resin based PC was investigated. It
was found that polymer concrete mortar can achieve compressive strengths in the
range of 90–100 MPa. Tensile strength was 15 MPa for vinylester based polymer
concrete. The results showed that polymer based filler materials are suitable for
48
both compression and tensile loading applications (Lokuge and Aravinthan, 2013).
The optimum proportions of fly ash for optimum compressive strength was 10%.
It was also concluded that the addition of fly ash as a filler material resulted in a
reduction in the amount of resin, and an increment in the compressive strengths
for PC with all the three types of resins. Ductility improved with decreasing fly
ash content for all the mixes of PC concrete. Therefore confinement methods need
to be addressed properly if PC with fly ash is to be used in structural applications.
Modulus of elasticity increased with increasing fly ash content for all the mixes of
PC concrete. Split tensile strength and flexural strength exhibited a decreasing
trend with an increase in fly ash content for all the mixes.
2.6.1 Maturity and long-term properties of polymer concrete
Long term properties of polymer concrete such as creep have a great effect on the
performance of the PC material. Understanding the creep behaviour and when the
creep stop or going to the minimum determine the time line for the mounting
process of the precision machine parts to commence on the PC base. Measuring
the creep under various loads will provide a figure of the suitable load to obtain
the minimum creep, literature suggested several measures under different kinds
of loads for PC containing various resin. There is a relationship between the
maturity and the creep. Increasing the maturity reduce the creep. Cirrode
investigated the creep under a compressive load of 19.6 MPa, creep did not
stabilised for 2.5 years with a strain of 1800 ×10-6 (Brocard and Cirrode 1967) for a
PC with epoxy binder. Two thirds of the stretch was reached in two months. The
nature of the creep strain was to increase in a non-linear fashion with the creep
stress.
49
Tolbert and Hackt investigated the viscoelastic nature of polymer concrete, using
an epichlorohydrin/bisphenol A-type epoxy as a thermosetting binder. The
composition of the aggregates was 60% river gravel, 30% sand and 10% Portland
cement Type II. Compression samples were tested for the linearity of viscoelastic
behaviour (Tolbert and Hackt, 1979). The effect of mass size on creep for the
determination of the specific creep compliance and the associated elastic modulus
was researched. The creep compliance was determined by the least squares curve
fitting of the experimental creep data. Collocation a numerical Laplace transform
inversion routine was utilized in developing the equation for the relaxation
modulus. It was found from the results of the superposition and creep tests that
the PC behaved in a viscoelastic fashion linearly at the lower s t r e s s
r e g i o n s (Tolbert and Hackt, 1979). Further test ing was essential to
character ise the degree of linearity throughout the material’s useable stress
region. It was noted that the behaviour of polymer concrete is similar to Portland
cement. The creep rate of epoxy PC is slightly higher and the values of the
relaxation modulus which were similar to Portland cement at the initial stage
(Tolbert and Hackt, 1979).
Howdyshell investigated the creep characteristic of polymer concrete. The resin
binder was UPE, and methyl ethyl ketone peroxide (MEKP) was the initiator
(Howdyshell, 1972). Stress-strain was measured and constructed using both
mechanical and electrical methods. The average compression strength was 88.94
MPa. It was observed that the stress-strain relationship started to be non-linear at
50% of the ultimate load. The average modulus of elasticity was 23.09 GPa. Creep
was experimented with three stress levels: 23%, 44%and 66% of compressive
strength for 1000 hours. Creep samples suffered from premature failure at a stress
strength ratio of 0.48 preceded by a sudden increase in creep rate, except for the
50
23% of compression strength samples that withheld for 1000 hours (Howdyshell,
1972). Ultimate creep strain to elastic strain was 1.23. Creep recovery was about
50% of creep strain and the compressive strength did not drop after 1000 hours for
23% creep load. It was observed that the creep deformation is sensitive to
temperature. In another study a compressive creep test on polymer concrete using
unsaturated polyester resin as a binder was conducted (Ohama, 1974 ). The
following equation was developed as an outcome of the experimental data
expressed below:
)1.2...(.......................................................................tBA
tec +=
Where ce is the creep strain A and B are arbitrary constants. A low stress to
strength ratio was used for the experimental set up, and the highest creep strain
was 0.18.
In another study on creep in polymer concrete. The creep caused by compressive
strength on epoxy based PC was investigated (Broniewski and Jamrozy, 1975). A
model was developed that describes the creep as shown in equation 2.2.
)2.2........(...........................................................................................
=btee ot
where b is arbitrary constants, et time dependent strain and e0 the initial strain.
Equation 2.2 can be used in a PC system with or without fibre reinforcement. An
attempt was made to describe the creep behaviour in UPE as well as epoxy based
polymer concrete. A triple superposition scheme was undertaken to develop a
constitutive equation for the forecast of long term creep in PCs (Dharmarajan,
51
1987). The investigation was done on the influence of stress, temperature and resin
content on the creep responses of the PC, minimising the data onto the preferred
reference state. By successfully minimising the data, it was made possible to
elaborate the creep compliance of PC systems as a product of different separate
features of time (t), stress (S), temperature (T) and resin volume fraction (V), such
as :
( ) )3.2(....................................................exp..,,,
++
−= VKtK
RTHmJVSTtJ vsr
Another serious attempt to predict the creep of polymer concrete was made. The
principle of time temperature equivalence was used to predict the long term creep
of polymer concrete (Khristova and Aniskevich, 1995). In another study, the
physical aging of the polymer binder was seen to influence the creep of polymer
concrete. To predict the long-term creep accounting for the aging process, the
result of the experimental study of UPE resin-based concrete and its structural
components (an unfilled resin and a resin filled with diabasic flour), a function of
the time–temperature–aging time reduction was applied. It was found that the
changes in the creep compliance of the material followed according to the
principle of the time–aging equivalence, with the reduction function dependant on
the aging temperature (Khristova and Aniskevich, 1995).
Chen and Liu conducted a study on different parameter that effect the creep of PC
which is thermo-moisture creep of polymer concrete under compressive load
utilizing time-temperature-moisture analogy (superposition) for a short term (10
hours) (Chen and Liu, 2005). The temperature and moisture contents were
constants during the test. A model for the creep behaviour of PC was created
52
which has the ability of to predict the creep by knowing the temperature and
moisture environment.
In another study by Tolbert and Hacket, a group of parameters were investigated
in an effort to understand how a variation of a specific parameter could affect the
compressive strength (Tolbert and Hacket, 1976). Parameters included were:
polymer loading, catalyst, exothermic reaction, aggregate type, graduation and
moisture content, curing age, aggregate additives and Portland cement.
Epichlorohydrin bisphenol A-type epoxy resin was used as a thermosetting
binder. It was found that the type of aggregate affects the compressive strength.
The optimum amount of diethylenetriamine catalyst for maximum compressive
strength was near 10%. Levels of catalyst between 8 to 12 % provided acceptable
results. By reducing the amount of catalyst, the exothermic temperature of the
mixture could be reduced. The use of moist aggregate reduced the compressive
strength substantially, my research agreed with the moisture effect on
compressive strength. The use of Portland cement as an additive could negate the
majority of this reduction (moisture effect) when added in the proper quantity.
The curing period beyond 7 days affected the compressive strength, although the
increase in curing period had a significant effect on compressive strength.
While it is interesting to explore the literature of long term properties of polymer
concrete and the key parameters that were studied, it is also essential to consider
maturity and how it effects on the mechanical strength of PC. In a study about
maturity, the strength development of polymer concrete through different
maturing environments was investigated (Ohama and Demura, 1982). Polymer
concrete samples were prepared and cured in various conditions. The compressive
strength was then measured for the cured specimens. It was found out that the
53
optimum maturation time before an elevated maturing temperature for the resin
concrete was about 10 hours. A water cure was found to be applicable and was
damage-free for polymer concrete using unsaturated polyester as binder. The
maturity method of PC using UPE as a mortar and how to implement the gaining
of high compressive strength was investigated (Lee et al., 1997). The key controls
of the maturity study were identified, namely catalyst, accelerator and
temperature, as a function of curing time and compressive strength. Polymer
concrete samples were prepared and cured at different temperatures with a
variety of accelerators and catalyst contents, and then the compressive strength
was measured for each case. Maturing temperature-compressive strength
relationships were built and the datum temperature was estimated. It was
concluded that the datum temperature for maturity equations for polymer
concrete with different combined catalyst and accelerator contents could be
estimated using temperature–compressive strength relationships. The
compressive strength of polymer concrete could be forecast by using the following
equation:
)4.2.....(..................................................)]........logexp(1[ MpcBAc −−+=σ
where σc is the compressive strength of polymer concrete that is measured by
MPa. pM is the maturity of polymer concrete A, B and C are constants. Maturity
of polymer concrete is represented by the following equation:
( ) )5.2.....(................................................................................0 tTTM p ∆−=
54
Where T is the maturing temperature (°C) of polymer concrete. ( )0T is the datum
temperature (°C) below which polymer concrete does not gain any compressive
strength (Ohama and Demura, 1982).
Maksimov, R. D. et al. (1999) studied the creep of PC under compression load. The
formula of the concrete was established using an experimental-calculation
approach, and by using this method a highly compacted filler composition was
obtained (Maksimov et al., 1999). It was found that the compressive strength was
high under prolonged compression loads. The polymer-concrete also exhibited
noticeable creep behaviour with a linear relation between the creep strains and
stresses. After the action with half the ultimate load of over 3000 h, the total strains
exceed the instantaneous ones by 2.0 to 2.2 times. An accumulation of irreversible
strains was also observed, although their contribution to the total strain was small.
It was concluded that the stress-strain relation can be represented by the equation
of linear hereditary creep theory (Maksimov et al., 1999).
2.7 Polymer concrete for manufacturing the bases of precision
tool machines
McKeown and Morgan (1979) wrote the first engineering article describing the
benefits of using PC containing granite as aggregate and epoxy as a thermosetting
binder to produce precast components for items such as the bases for precision
tool machines. The comparison of PC, cast iron and granite was detailed in terms
of mechanical properties such as high damping factor, dimensional stability and
reasonable rigidity. Another benefit of PC is the manufacturing process compared
to cast iron. It was found that cast iron is not easy to handle and is costly, and
needs further machining. PC pre-casting has ease of manufacture, feasibility, and
55
the ability to embed plastic pipes. PC also costs less than cast iron (McKeown and
Morgan, 1979).
Morgan and McKeon (1979) compared mechanical properties of materials used to
manufacture precision tool machine bases (Morgan and McKeon, 1979). Several
materials were involved in this comparison, including cast iron, hydrolytic
concrete, mild steel, granite and PC. The comparison of the materials was in terms
of their properties, including the modulus of elasticity, specific stiffness, damping,
long-term dimensional stability, coolant resistance, wear rate, frictional properties,
thermal conductivity and lead time for manufacture. It was concluded that each
material compared had limitations. PC containing epoxy as a resin binder seems to
have most advantages compared to most of the reviewed materials for a machine
tool structure. Other advantages of PC are that it can be cast to size quickly and
precisely, it is low-cost, has a short manufacturing lead-time, high damping ratio,
and high stiffness. It is unaffected by coolants and is stable dimensionally.
Kim et al. (1995) studied the properties of PC for a machine tool base using epoxy
(IPCO 410) as a mortar. Numerous experiments were conducted to obtain the best
properties of PC for the application. The modulus, compressive strength, flexural
strength, CTE, specific heat, thermal conductivity, and damping factor were
measured by varying the compaction ratios, sizes and ingredients to assess the
effect of the processing parameters on PC properties. It was found that the optimal
compaction of PC was obtained when the pebble weight fraction was 55.5%. The
Young’s modulus and compressive strength increased, as the pebble weight
fraction increase for overall aggregate weight was constant in PC composite
systems. The Young’s modulus, compressive strength and flexural strength
increased as the resin content increased, as well as the CTE. When the resin weight
56
fraction was 7.5%, the CTE of PC was the same as that of cast iron (Kim et al.,
1995).
Orak (1999) investigated the usability of polymer concrete in the manufacture of
machine tool beds. The research was involved in damping characteristic of PC. PC
samples were prepared with equal amount of UPE resin and different quartz
material ratios were used in order to investigate (Orak and Karademir, 1998)
changes in the damping characteristic with structure. Damping experiments were
conducted using PC and cast iron samples for compression purpures. Critical
damping ratios were calculated with the free vibration method. It was observed
that the critical damping ratio of polymer concrete was approximately 4-7 times
higher than that of cast iron.
Other research in which a hybrid PC base for high-speed CNC milling was
designed and manufactured was conducted by (Suh and Lee, 2008b). The base
was composed of PC and welded steel structure faces. The dynamic characteristics
of the resin (unsaturated polyester) and the main aggregate (granite) were
measured by impulse dynamic tests according to ASTMC215-91. The damping
factor of the base was validated using ANSYS 6.0 CAE software. The hybrid base
damping factor was compared with steel and cast iron damping factors. The
hybrid PC machine base exhibited superior damping characteristics (n = 2.93–
5.69%), which enhanced the precision of the CNC milling machine.
In another study with the same focus (Bruni et al., 2008), the effect of a PC base
for a CNC turning machine on dimensional accuracy and tool wear was
57
investigated using 39NiCrMo3 alloy steel in a hard turning operation and the
results were compared with a cast iron base for a CNC turning machine In this
research, two kinds of cutting tools were used. They were ceramic and PCBN,
with lubricant and without. Figure 2.2.7 shows the effect of the machine base
material on tool wear and surface roughness. The general trends obtained under
the same experimental conditions using the cast iron and PC beds are very similar.
However, it can be observed that the machine tool equipped with the PC base, in
respect to the insert material and the lubrication-cooling technique used, obtained
a better surface finish and lower tool flank wear than those given by the cast iron
base.
Figure 2.2.7 (a) Flank wear versus cutting time, (b) surface roughness versus cutting time obtained using polymer concrete and cast iron beds under wet and dry turning conditions (PCBN inserts).
Figure 2.2.8 shows the comparison between the two bases used, in terms of
acceleration time history and the spectrum measured during free vibrations after
an excitation was applied using an impulse hammer. It demonstrates that the PC
58
base is characterized by vibrations with lower amplitude and resonance peaks
than those measured on the cast iron base (Bruni et al., 2008).
Figure 2.2.8 Comparison between cast iron and polymer concrete base in terms of (a) acceleration time history and (b) spectrum measured during free vibrations.
It was concluded from these results that the surface finish and turning performed
on the machine tool equipped with the PC base provided lower flank wear and
higher surface finish values than those given by the same operations carried out
on the turning centre equipped with the cast iron or steel bases (Bruni et al., 2008).
Bai et al. (2009) investigated the influence of glass fibre on the mechanical
properties of PC used as a base for precision tool machines. The most effective
property in PC is the damping ratio. Damping tests were performed for different
PC samples containing different levels of glass fibre, and different amounts of
epoxy resin and granite. Results of the tests showed that the granite volume
fraction had more influence on the damping ratio than the epoxy dosage and glass
59
fibre length, while the amount of resin and the glass fibre dosage had
comparatively less influence (Bai et al., 2009).
Ding (2010) conducted another study on bases for CNC machine tools composed
of epoxy concrete structure faces and steel fibre, with a cement concrete core
(Ding, 2010). This combination of materials satisfied the required properties of
high stiffness and high vibration damping for the machine base, and its low cost
was advantageous. Figure 2.10 illustrates a cross-section of the machine base.
Figure 2.2.9 Cross-section of the CNC machine bed (Ding, 2010).
60
2.8 Conclusion
In conclusion, Flandro established a progressive principal for PC research more
than 50 years ago, which then PC research continued in various directions
depending on the application and research approach. This literature review was
structured to include discussion of the different types of thermosetting resin
binders, the use of thermosetting resins in PC, and the applications of PC in the
manufacture of bases for a precision tool machine. All the directions of PC
research since Flandro were covered in this chapter. Each direction in PC research
focuses on different aspects, depending on the application, the research approach
and previous research. The PC aspects were reviewed in regard to the effect of
polymeric material, such as the damming ratio, mechanical properties and thermal
properties. In respect to the PC as a composite, various aspects were reviewed,
such as fillers, polymeric matrix, curing behaviour, creep behaviour, principal
mechanical properties and thermal properties. Recently, a major focus of PC
research has been the utilization of PET bottle waste as a filler or resin in the
manufacture of PC, being an innovative and environmental approach to the
utilization of the waste with many useful applications. The literature review
identified numerous gaps. Some of those gaps were related to issues in the
manufacturing of PC bases for precision tool machinery, such as:
1. Resin optimization for the mechanical and rheological properties in
accordance with the manufacturing process of PC and the final
structural functionality of precision tool machine bases. This thesis is
filling this gap as described in Chapter 4.
2. Investigation of the allowable moisture content in fillers, based on
the influence of water on the mechanical, thermal and rheological
properties of the polymeric binder and the PC composite system.
61
The investigation filling this gap as described in Chapter 7 and the
amount of allowable moisture nominated.
3. Investigation of the effect of resin and filler volume fractions on the
CTE, damping characteristics and mechanical strength of the PC
composite system. This thesis filling this gap as described in Chapter 5.
4. Investigation into the effect of moulding technology, including the
optimisation of mixing, maximum compaction and vibrating time,
based on the rheological properties of the resin bidder,
morphological properties of the filler and resulting mechanical
properties. This gap is covered in Chapter 6, where the optimum
vibration frequency and time are identified.
5. Identification of the amount of DMA according to the temperature-
time dependant rheological properties of polymeric binder and how
they affect the mechanical properties of the resin and PC composite.
This gap is covered in Chapter 6, which nominates the DMA
amounts according to the temperature and rheological properties of
the matrix.
6. Nomination of the maximum allowable moulding period based on
curing studies and the temperature-time. This gap is covered in
Chapter 6.
7. Identification of a maturing method, compatible with the required
mechanical strength of the base according to the optimization
62
criteria. This gap is investigated in Chapter 8 and the maturing
method is identified based on flexural strength.
8. Identification of the relationship of the PC developed flexural
strength with the maturing time and maturing temperature. This gap
is covered in Chapter 8, and the relationship identified for developed
flexural strength with the maturing time and maturing temperature.
There are other gaps not related to the research area of PC used in the manufacture of bases for precision machines, such as:
1. The effect of the virgin material of MMA monomer on the mechanical properties and curing behaviour of UPE obtained from the depolymerisation of PET bottle waste.
2. The effect of DMA amounts on the curing rate and mechanical properties of UPE obtained by the depolymerisation from HDPE bottles.
3. The relationship between the developed strength on PC contained UPE obtained from PET bottle waste and the temperature with the time.
4. The comparison of UPE virgin material and the UPE obtained from PET bottle waste in terms of thermal properties, such as CTE and thermal conductivity.
5. The effects of gamma radiation on the thermo- mechanical properties of PC containing a UPE as a polymeric binder obtained from PET bottles.
6. The effect of thermal stress and shrinkage induced by the thermal maturing on PC mechanical properties of PC containing UPE obtained from PET bottles.
63
7. The effect of initiators on the rheological and thermo-mechanical properties of UPE obtained from UPE bottles.
8. The suitability of the PC containing UPE as a resin binder obtained from PET bottle waste in the manufacture of a PC base of for a precision tool machine and how it can be accommodated.
9. The use of surfactants as a chemical binder between the aggregates and the matrix to improve the mechanical properties of PC in UPE of a virgin material and the UPE obtained from PET bottles.
64
Chapter 3
3 Materials and Methods
3.1 Polymeric matrix
The resin used in this research is a thermosetting material combining two
commonly used constituents, commercial unsaturated polyester (UPE) and a vinyl
based monomer, methyl methacrylate (MMA). The resin is formed via the radical
copolymerization of the monomer (MMA) and the low molecular weight
unsaturated polyester (UPE) viscose liquid when initiator ( methyl ethel kenton
peroxide (MEKP)), an accelerator (dimethyl aniline (DMA)) and a promoter, cobalt
octoate, are added to bring about the curing reaction. This process produces a
cross-linked three-dimensional network resin. This resin is used as a binder for
aggregates in PC composite systems.
3.1.1 Unsaturated polyester (UP)
UPE resin is available referred to commercially as a combination of unsaturated
polyester with styrene. The resin offers ease of handling, and casting and
moulding operations with little or no pressure (Zaske and Goodman, 1998). The
65
commercial general purpose UPE (AROPOL) is manufactured by the Mitsubishi
Chemical Company in Japan and imported by Hustman Chemical Company
Australia Pty. Ltd. The appearance can be a clear or cloudy, viscous liquid with a
sweet or sharp aromatic odour. Table 3.3.1provides information provided by the
manufacturer. The molecular chemical structure is shown in Figure 3.1:
OO
O
O
n
Figure 3.1 Chemical structure of UPE.
Table 3.3.1 UPE properties supplied by the manufacturer.
Property Description
Vapour pressure Styrene: 4.5 mmHg @ 20 °C
Water solubility Immiscible
Vapour density Styrene: 3.6
Solubility in organic solvent Miscible with acetone, glycol ethers, toluene
Evaporation rate Styrene: 0.5
Percentage of Volatile 30 – 67% by volume
3.1.2 Styrene
Styrene is commonly used as a monomer with UPE. It is a low-cost monomer and
can produce low-viscosity resins that can polymerise with UPE at either room
66
temperature or at a high temperature. The styrene used in this study was
produced by Nupol Composites, a division of Nuplex Industies (Aust) Pty Ltd
NSW, Australia. The specifications, as supplied by the manufacturer, are shown in
Table 3.2. Styrene monomer has a composition of 99-100% of styrene and 10-15
ppm of tertiary butyl catechol (TBS) which is a polymerisation and oxidation
inhibitor.
Table 3.2 Styrene specifications provided by the manufacturer.
Property Description
Vapour density (air=1) 3.6 (air=1)
Evaporation rate 0.49 (n-butyl acetate = 1 )
Odour threshold Approx. 0.1 ppm
Molecular weight (g/mol) 104.14
Specific gravity 0.902 @ 25°C
Auto-ignition (°C) 281
Water solubility Insoluble 0.300 g/L @ 20 °C
Viscosity (mPa.s) 0.763 @ 20 °C
Vapour pressure( kPa) 0.6 kPa @ 20 °C
3.1.3 Methyl methacrylate (MMA)
This organic compound is a monomer with low viscosity. It is colourless and has a
sharp fruity odour. It contains 0.25% inhibitor of hydroquinone to avoid
67
premature polymerisation, and is supplied by Degussa Australia Pty Ltd. Table
3.3 illustrates some of its properties, as provided by the supplier.
Table 3.3 MMA properties provided by the supplier.
Property Description
Density 0.94
Flammability limits (%) 2.1-12.5
Water solubility(g/L) 15.9
Viscosity (mPa.s) 0.63
Vapour pressure( Pa) 38.7
Boiling point (°C) 100.3
3.1.4 Methyl Ethyl Ketone Peroxide (MEKP)
Organic peroxide initiators are the source of free radicals in a variety of plastic
resins and elastomers. They are used in plastic processing for the polymerisation
of thermoset resins such as the curing of unsaturated polyester, cross linking of
polyethylene and various elastomers. There are other kinds of initiators, such as
cyclohexanone peroxide and TMPTMA. The peroxide group (—O—O—) that is
contained in all organic peroxides is highly unstable. When the bond is broken
between two oxygen molecules, the peroxide decomposes and two free radicals
are formed. The general formula for these compounds is R1—O—O—R2, where
R1 and R2 either symbolize organic radicals or an organic radical and hydrogen
atom. MEKP is the main product of the organic ketone peroxides. These types of
68
peroxides are mixtures of peroxides and hydro-peroxides that are commonly used
for room-temperature polyester curing (Kattas et al., 2004). MEKP is a product of
FGI, a division of Nuplex Industries Australia Pty Ltd. Table 3.4 contains
information provided by the MEKP supplier.
Table 3.4 MEKP properties provided by the supplier.
Property Description
Specific gravity 1.15
Auto-ignition (°C) 281
Water Solubility (%) 1
Viscosity (mPa.s) 0.63
Vapour Pressure( kPa) 50 @ 50°C
Appearance Colourless liquid
3.1.5 Promoter
A promoter is a compound that greatly increases the activity of a given initiator.
The promoter helps in the decomposition of the initiator, delivering radicals at low
temperatures. Promoters facilitate curing because the initiator alone does not
decompose at a sufficient rate (Fink, 2005). The promoter used in this study was
cobalt octoate, a product of Alfa Aesar Pty Ltd from USA. Cobalt octoate is a
metallic salt of synthetic carboxylic acid containing 1-12% of cobalt metal and a
mineral spirit as the diluent. Some typical properties of cobalt octoate
specifications, provided by the supplier, are shown in Table 3.5.
69
Table 3.5 Cobalt octoate supplier specifications in different concentrations.
Cobaltoctoate concentration (12%) (10%) (6%) (3%)
Metal content 12 10 6 3
Non-volatile matter 69 60 33 19
Specific gravity @ 30C° 1.02 1.97 0.87 0.83
3.1.6 Accelerator
A chemical compound is used to increase the reaction or curing of thermosetting
materials. Note that the term “accelerator” is often used interchangeably with
“promoter”. An accelerator is often used with a catalyst, hardener or curing agent
(Kattas et al., 2004). The accelerator used in this study was dimethyl aniline
(DMA), a product of Alfa Aesar Pty Ltd, USA. It is a colourless gas with an
ammonia-like smell. Some properties of DMA, as provided by the supplier, are
shown in Table 3.6.
70
Table 3.6 DMA Supplier specifications obtained from the supplier.
Property Descriptions
Molecular weight (g/mol) 100.1
Density (g/cm3) 0.049
Viscosity (mPa*s) o.66
Solubility in water (%) 1.15 @ 20 °C
Boiling point (C°) 100.5
Melting point (C°) -48
Shrinkage on polymerisation (%) 21
Vapour pressure (mbar) 37 @ 20 °C
3.2 Specifications of filler composition of polymer concrete
The aggregates used in PC are basalt, river gravel, spodumene, sand, chalk and fly
ash in different combinations. Basalt, river gravel, sand and chalk were used as
filler aggregates in the precent study.
3.2.1 Basalt
The basalt that used as coarse aggregate in this research was basalt 7 mm from
Roca Pty Ltd. The specifications of the basalt are shown in Table 3.7. The basalt
71
was selected as coarse aggregates since basalt provide a high rigidity and low
CTE. The ecological source of basalt was Walsh Ballarat quarries.
Table 3.7 Specifications of basal obtained from the supplier.
Property Descriptions
Specific gravity 3.00
Chemical stability Stable
Solubility in water Immiscible
Odour Odourless
3.2.2 Gravel
The gravel used as course aggregate in preparing PC samples was 7 mm gravel
from Roca Pty Ltd. The specifications of the gravel are shown in Table 3.8. The
gravel was selected for a comparison resin with the basalt. The ecological source of
gravel was Kingston quarries in Melbourne.
72
Table 3.8 Specifications of gravel delivered by the supplier.
Property Descriptions
Specific gravity 2.80
Chemical stability Stable
Solubility in water immiscible
Odour Odourless
3.2.3 Sand
The sand used in the present study in the preparation of the PC samples was a
middle-sized aggregate supplied by Roca Pty Ltd. The basalt was selected because
of it is availability and high compaction. The ecological source of sand was
Essendon quarries in Melbourne. The specifications of the sand are shown in the
following table:
Table 3.9 Sand specifications obtained from the supplier.
Properties Descriptions
Specific gravity 2.6
Chemical stability Stable
Solubility in water Immiscible
Odour Odourless
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3.2.4 Spodumene
Spodumene is a lithium aluminium silicate. It is a non-toxic and inert substance,
unlike lithium, which is a reactive substance. Spodumene is a source of lithium for
applications such as batteries. The spodumene was selected because of it is very
low CTE and high texture. The spodumene was supplied by Talison Minerals,
Western Australia Pty Ltd. The chemical contents of spodumene provided by the
supplier are shown in Table 3.10.
Table 3.10 chemical contents of spodumene obtained from the supplier.
Chemical content Volume fraction (%)
Li2 O 5.0 Fe2 O3 0.1 Al2 O3 18.5 SiO2 75.0 Na2 O 0.25 K2 O 0.35
3.2.5 Fly ash
Fly ash is a fine grey powder consisting mainly of spherical glassy particles that
are produced as a by-product in coal fired power stations. The fly ash was
74
supplied by Cement Australia Pty Ltd. The geological source is Bayswater power
plant. The fly ash specifications are shown in Table 3.11.
Table 3.11 Fly ash specifications obtained from the supplier.
3.2.6 Chalk
Chalk is a porous powder from limestone composed of mineral calcite (CaCo3).
The chalk used in the study was supplied by Omya Australia Pty Ltd. The
specifications of the chalk are shown in Table 3.12
Property Descriptions
Specific gravity 1.4
Melting point (°C) 1400
PH Basic (11.9)
Solubility in water 1.3 mg/100g
Odour Odourless
75
Table 3.12 Chalk specifications obtained from the supplier.
3.3 Methods of measuring properties of fillers
Different properties were measured for each aggregate, including particle size
distribution, bulk density, true density, Brunauer, Emmett, and Teller (BET)
surface area and morphological properties using scanning electron microscopy
(SEM). The methods of testing are explained in the following sections:
3.3.1 Sieve analysis
Particle size distributions were obtained for course and middle-sized aggregates
such as basalt, river gravel, sand and spodumene using sieve analysis with
different sieve sizes, depending on aggregate particle size distributions. The
procedure starts with a nest of sieves that is prepared by stacking the test sieves
one on top of another. The largest opening is at the top, followed by sieves with
progressively smaller openings and a catch pan at the bottom. A sample of 400g
Property Descriptions
Specific gravity 2.7 Melting point 825 °C Chemical formula CaCo3 Solubility in water
Odour
1.3 mg/100g
Odourless
76
dry aggregate is poured onto the top sieve to cover the nest which is then shaken
mechanically for 10 minutes until each particle has dropped to a sieve with
openings too small to pass, thus retaining the particle. The accumulative weight of
all material larger than each sieve size is determined and divided by the total
sample weight to obtain the percentage retained for that sieve size. This value is
subtracted from 100% to obtain the percentage passing that sieve size. The results
are displayed after plotting the percentage passing through the sieve opening size
and connecting the plotted points with a smooth curve.
3.3.2 Determination of the particle size distribution using laser scattering
The particle size distributions of micro-size fillers such as chalk and fly ash were
obtained using a Malvern Mastersizer X, manufactured by Malvern Instruments
Ltd. UK. This equipment was implemented because the filler particle size cannot
be detected using conventional sieves, and accurate results were needed to
enhance the research outcomes. This method operates on the observation of
patterns of light scattered at various angles, which is one way of measuring
particle size distributions (Frock, 1987). The low angle scattering method can be
applied to particles with large dimensions compared to the wavelength producing
the scatter. The method relies on the fact that the diffraction angle is inversely
proportional to the particle size. The optical configuration is shown schematically
in Figure 3.2. The instrument is equipped with a low power helium-neon laser that
measures particles with a maximum size of 600 µm with an accuracy of 2 % on
volume median diameter. The results of particle size distribution measurements at
a wavelength of 0.63 µm, are used to form a collimated beam of light. Particles are
introduced to this beam by the sample presentation modules and scatter the laser
77
light. The light scattered by the particles and the unchartered remainder is
analysed by the special semiconductor detector in the form of a series of concentric
annular sectors. Figure 3.2 shows a schematic diagram of the laser scattering
process. The results are converted into an electronic signal sent to the computer for
analysis by special software provided with the instruments. Figure 3.3 shows the
computer results that can be converted into an Excel file using interface software.
Figure 3.2 Schematic configuration is of Malvern Mastersizer X.
78
Figure 3.3 The results of particle size distribution of fly ash obtained from the Malvern Mastersizer software that can be converted into Excel.
3.3.3 Bulk density
Bulk density was measured using a measuring cylinder in a simple procedure. The
sample was weighed then poured into a measuring cylinder then compacted into
the measuring cylinder. The volume of the sample was obtained using the
measuring cylinder and the mass of the sample was known. The density was
calculated by dividing the mass over the volume.
79
3.3.4 True density
The density of the aggregates was measured using a pycnometer (density bottle).
The dry bottle, aggregate sample and bottle with sample and acetone were
weighed and the sample weight, volume and density were calculated accordingly.
3.3.5 BET (Brunauer, Emmett, and Teller) surface area
The BET specific surface areas and porosity were determined using nitrogen
sorption measurements that were performed using a Micromeritics ASAP 2000
(USA). Surface area and porosimetry were determined by nitrogen gas
adsorption/desorption. In a typical test, a 100-150 mg sample was degassed at
fixed temperatures under high vacuum for at least 22 h, prior to measuring the
isotherms at liquid nitrogen temperature (77°K). The same samples were degassed
at gradually increasing temperatures up to 250°C and the N2 adsorption isotherms
were measured after each step of degassing using an 89-point pressure table with
15 s equilibration intervals. The surface areas were determined using the BET
method, and the average pore diameter and pore size distribution were evaluated
using the Barret, Joyner and Halenda (BJH) theory applied to the desorption
branch.
3.3.6 Method of measuring aggregate moisture content
The moisture content of the aggregates has a great effect on the mechanical The
moisture content of the aggregate has a great effect on the mechanical properties
and curing behaviour of a PC composite system. Prior to mixing the aggregates
with resin, a moisture test should be performed to obtain an indication of the
moisture levels in the system. The level of moisture in the aggregates is preferably
80
at zero or as close as possible. The device used for measuring the moisture content
of aggregate was an MD 150 from Sartorius, Germany. This is a specialized
measuring instrument for this application. The MD 150’s working principle is that
thermo-gravity determines the loss of mass that occurs when substances are
heated. In this process, the sample is weighed before and after being heated and
the difference between the two weights is determined, which is the moisture
content. The heating element in the MD 150 is infrared radiation, which has high
heat penetration. The procedure takes up to 30 – 40 minutes, with a gentle heating
temperature of 150 ˚C.
3.4 Methods of testing polymeric matrix
The polymeric matrix was tested for different properties, such as flexural strength,
tensile strength, modulus of elasticity, elongation, hardness, the damping factor
and the CTE. Furthermore, the resin was subjected to numerous analyses to
capture a potential explanation for the resin behaviour or parametric effect.
Fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry
(DSC), rheology analysis and scanning electron microscopy (SEM) were used.
3.4.1 Methods of testing mechanical and thermal properties for polymeric
matrix
Different mechanical properties of the polymeric matrix were tested, including
tensile strength, flexural strength, shore D hardness, damping factor and CTE. In
the next sections, each method of testing mechanical properties is described in
detail.
81
3.4.1.1 Methods of testing tensile and flexural strength
Flexural strength and tensile strength were tested using a Zwick universal testing
machine (Zwick Z010, Germany), as shown in Figure 3.4. Resin samples were
prepared using a high density polyethylene (HDPE) mould with the following
dimensions: 50 mm long × 10 mm wide × 2.5 mm thick.
Figure 3.4 Zwick universal testing machine.
For tensile testing, a sample is inserted in both jaws of the universal testing
machine at the centre of the jaws in a vertical orientation. The cross sectional
dimensions of the sample are measured using a dial calliper and the dimensions
are then entered into the testXpertII software available on the computer connected
to the universal machine. The cross-head speed is 25 mm/min, since once the set-
up is accomplished, initiating the test can be either by the mechanical start button
82
on the machine or by the computer software. Once the specimen has failed, the
stress-elongation curve can be obtained and the modulus of elasticity for tensile
stress derived using testXpertII software. Flexural strength testing was conducted
using the same machine by applying a different setting. It was necessary to input
the width and thickness of the rectangular sample into the test XpertII software
and the span of a simply supported cantilever to obtain the flexural strength and
the deflection, as well as the modulus of elasticity for flexural strength.
3.4.1.2 Hardness (Shore D Test Method)
Hardness was tested using a digital Shore D tester 3130/3131 made by Zwick and
a check device Zwick 7507. Both combinations were used to measure hardness
when using the Shore D Test Method.
The sample was moulded in an HDPE cylindrical mould and machined lightly to
the following dimensions: 10 mm diameter and 70 mm length. The time was set
for three seconds for measurement by the digital shore tester, and the sample was
then placed under the loading hull. The loading hull was pressed until the desired
contact pressure was applied, using the actuating lever, the measured value was
displayed in the Digital Shore D Tester. Four measurements per sample were
performed at four random points.
3.4.1.3 Coefficient of thermal expansion (CTE) for the resin
The CTE was measured using a custom-built device. The device includes a heating
chamber (Thumler model TH2700-26, Germany) with two displacement probes
attached to a small digital display unit (Sylvac Dsos, Switzerland) and a
thermostat connected to a temperature control microprocessor. The resin sample
83
temperature was monitored using a data acquisition system linked to a computer,
as illustrated in Figure 3.5.
Figure 3.5 Measuring device coefficient of thermal expansion (CTE).
Two rods made of Invar (a 36% nickel-iron alloy with the lowest CTE of metals
and alloys in the 20 - 230 °C range, iα = 1.2×10-6 °C-1) are used in this set-up. One
of the rods is used as a reference and the other one is placed above the PC sample.
The expansion of the reference rod and the sample with the second rod is detected
by the probes on the top of the heating chamber, which are touching the Invar
rods. Figure 3.6 shows the arrangement inside the heating chamber.
84
Figure 3.6 Arrangement inside the heating chamber with other components of the experimental set-up.
The resin sample has a hole at the side wall of the cylinder sample in order to
place the thermocouple sensor (SE00 type K thermocouple, Pico Technology, UK),
and to monitor and control the temperature inside the sample. The Pico data
acquisition system contains a TC-08 thermocouple data logger (Pico Technology,
UK) connected to the computer to display the temperature. Due to the low thermal
conductivity of PC resin, approximately one hour is required to achieve thermal
equilibrium. Thermal expansions at five temperatures: 25, 35, 40, 50 and 60 °C
were measured to calculate the CTE of each UPE resin sample using Equation 3.4,
which is derived based on the physical principles of CTE as follows:
85
)4.3........(....................
)3.3.........(....................)2.3........(..........
)1.3.......(..........
is
s
s
sis
siss
sirissri
siri
ssri
Tls
TlTlS
TlTlSTlTlTlTlS
RLSTlTlRTlTlL
αα
αα
αααααα
αααα
+∆∆
=
∆∆+∆
=
∆−∆=∆∆−∆−∆+∆=∆
∆−∆=∆∆+∆=∆∆+∆=∆
where ΔL is the change in length of the Invar rod and the sample within the
temperature difference ΔT, and ΔR is the change in length of the reference Invar
rod within the same temperature difference ΔT. ΔS is the difference between the
readings of the two probes i.e. the difference between ΔL and ΔR. rl is the length
of the invar rod, which is located in the middle of the resin sample and sl is the
length of the resin sample. il is the length of the reference rod. Substituting
equations 3.1 and 3.2 in to equation 3.3 and using simple algebra simplifications,
results in equation 3.4 can be used to calculate the CTE polymer concrete and sα is
the sample coefficient of thermal expansion.
3.4.1.4 DMA analysis
To calculate the resin damping factor, Dynamic Mechanical Analyses (DMA) were
conducted, since the damping factor is a dynamic property. DMA is a method
where a small deformation is applied to a sample in a cyclic force that leads the
materials response to stress, temperature, frequency and other parameters. DMA
86
applies an oscillatory force at a set frequency to the sample and reports changes in
stiffness and damping. DMA data are used to obtain modulus information. A TA
Instruments, DMA 2980 USA, was employed to perform a frequency sweep for the
dual cantilever test for measuring tan δ (damping factor), storage modulus and
loss modulus. The sample size of the resin was the same as that prepared for the
mechanical test. A sample is mounted on the clamps and tightened up with
screws, using a torque meter to measure the torque while tightening. Each
material is tightened to a specific torque according to the instructions provided by
TA Instruments. The required torque for PCR was 8 kN/mm. The furnace should
be closed and the type of analysis is specified (a frequency sweep, temperature
sweep or other available analysis), using the TA Instruments thermal advantage
software that controls the device through a computer. Figure 3.7 illustrates the
thermal advantage software interface. Analyses that were conducted mainly used
the isothermal frequency sweep. Other information which must entered is the
deflection, the time for isothermal equilibrium, testing temperature, sample
geometry, dimensions, clamp type and sample name.
Figure 3.7 Thermal Advantage software.
87
The analysis can be run when all the required data are entered. On accomplishing
the analysis, the results can be obtained using TA universal software 2000. Figure
3.8 shows the result of a temperature sweep (50-200°C) for a given range of
frequencies (1-200 Hz) for UPE resin containing 0.005 DMA accelerator. The
analysis illustrates changes in the material damping factor (tan δ) and storage
modulus with temperature and time.
Figure 3.8 TA Universal 200 viewing DAM analysis file.
3.4.2 Rheological analysis
Rheological analysis was conducted in order to understand and analyse the curing
behaviour of the polymeric matrix. There are two types, one measuring the
viscosity growth due to the cross-linking process through the polymerization, and
the other measuring the temperature profile for the resin due to the exothermal
reaction that generates heat (exothermal energy). The experimental procedure for
88
both will be described. Another measure of viscosity growth is the gel time, which
is another indication of curing.
3.4.2.1 Measurement of viscosity growth during polymerisation
The Brookfield UL (universal left) adapter set was used, which included: a
locating channel assembly, chamber tube, collar with thumbwheel, tube end cap
and spindle LV-1 with universal coupling. The assembly of a rheological system:
All parts of the system are manufactured by Brookfield, USA. The viscosity
growth through the polymerisation was measured using the following equipment:
§ Brookfield RVDV-II+ Pro programmable viscometer.
§ Brookfield UL adapter.
§ Brookfield circulating bath with digital controller TC-102.
Viscosity measurement was taken at 25°C for all sample compositions. The
Brookfield circulating bath with a digital controller was set at 25°C and the
Brookfield UL adapter immersed for a period of 10 minutes to assure thermal
equilibrium throughout the chamber tube. In sequence, the Brookfield RVDV-II+
Pro programmable Viscometer was set up to run at a speed of 100 rpm and the
entry code for the LV-1 spindle was selected prior to any reading. The Brookfield
RVDV-II+ Pro Programmable viscometer ran in stand-alone mode. The locating
channel assembly was fixed to the Brookfield viscometer, which was used to
assemble the UL adapter with the sample. In order to begin the viscosity
measurements, the resin components were mixed according to the composition
set. The resin was poured into the chamber tube, followed by insertion of the
spindle LV-1 in the chamber and the final assembly of the chamber with the
sample, which was connected to the locating channel assembly to run
89
measurements. The time was recorded with each reading of the viscosity. The flow
chart of a viscosity measurement is shown in Figure 3.9.
Figure 3.9 Flowchart of the procedure for measuring resin viscosity.
3.4.2.2 Method of monitoring resin temperature profile during
polymerisation.
The procedure begins by setting the temperature of the Brookfield circulating bath
using a digital controller TC-102 for 25°C with a wait time of 10 minutes to obtain
thermal equilibrium. The resin is prepared and poured into the high density
polyethylene (HDPE) tube, then immersed in the bath and held by a holder, as
shown in Figure 3.10. A thermocouple sensor (SE00 type K thermocouple, Pico
Technology, UK) is placed in the resin and connected to the Pico data acquisition
system containing a TC-08 thermocouple data logger (Pico Technology, UK) and
connected to a computer to display to record the temperature profile during the
copolymerisation of UPE resin during the copolymerization. Figure 3.10 shows the
90
experimental arrangement. The resin temperature profile was measured during
the polymerization using the following equipment:
• Brookfield circulating bath with digital controller TC-102.
• Tube holder, tube 50 ml.
• Thermocouple sensor (SE00 type K thermocouple, Pico Technology, UK).
• Pico data acquisition system contain TC-08 thermocouple data logger (Pico
Technology, UK)(identical to that used in measuring temperature for CTE).
• Computer for data collection system.
Figure 3.10 Experimental arrangements for measuring temperature during the curing of the resin.
91
A computer records the temperature and the time using Pico technology software
in a pad file that can be converted to an Excel file to plot the temperature versus
time.
3.4.2.3 Method of measuring gel time
Gel time is the period of time when the resin changes from a liquid to a non-
flowing gel. Gel time was determined for the resin according to ASTM D 2471-99
(American Society for Testing and Materials, 2007). A white wooden stick 1 cm in
diameter is inserted, then lifted up through a 20 mL resin sample to detect the
adherence of the resin to the wooden stick. At the same time, a thermocouple is
inserted into the geometric centre of the reacting mixture using the thermocouple
data logger PICO system, previously described for the CTE measuring method. At
the resin reacting gel stage, when the material no longer adheres to the end of a
clean wooden stick, the gel time is recorded.
3.4.3 Thermal analysis
Thermal analysis was conducted in order to understand and analyse various
aspects of polymeric binder such as conversion rate and mass change rate when
the sample under the effect of heat. Those analysis such as:
§ Differential scanning calorimetry (DSC)
§ Thermogravimetric analysis (TGA)
3.4.3.1 Differential Scanning Calorimetry (DSC)
DSC is part of a group of techniques called Thermal analysis (TA), which is based
upon the detection of changes in the heat content (enthalpy) or the specific heat of
92
a sample. As thermal energy is supplied to the sample, enthalpy increases and the
temperature rises by a determined amount, for a given energy input, by the
specific heat of the sample. The specific heat of a material changes slowly with
temperature in a particular physical state, but alters discontinuously at a change of
state. By increasing the sample temperature, the supply of thermal energy may
induce physical or chemical processes in the sample, for example melting or
decomposition, accompanied by a change in enthalpy. Such changes in enthalpy
may be detected by thermal analysis and related to the processes occurring in the
sample. The material, equipment and software used in the DSC measurements
were:
• DSC 2920 Modulated DSC (Figure 3.11-b).
• Thermal Advantage (Version 1.3.0.205), by TA Instruments.
• Precisa 125A Balance (Figure 3.11-a).
• TA Instruments hermetic aluminium pans (Figure 3.11-a).
• TA Instruments T zero press (Figure 3.11-a).
• Eppendorf pipettes.
DSC preparation starts with the weighing of the hermetic aluminium pan, using
the Precisa 125A balance. The resin constituents are then prepared and mixed
constantly and slowly for a few seconds with a mixing paddle. To avoid heat
transfer, the mixing container case is not hand-held. Instead, the mixing container
is placed on an insulated non-conductive surface. The mixture is stirred at room
temperature and a sample of 5-20mg is taken using an Eppendorf pipette and then
sealed hermetically into a hermetic aluminium pan. The hermetically-sealed
sample can either be stored at minus 20ºC in order to avoid a reaction or put in the
DSC furnace immediately after mixing and sealing, ready for DSC measurement.
To begin DSC measurement, a sample pan and another empty pan (also
93
hermetically sealed and used as a reference) are placed into the DCS. Prior to this,
the furnace is set up using DSC software (Thermal Advantage software version
1.3.0.205). The DSC furnace is first equilibrated at the isothermal selected
temperature, when the sample hermetic pan and the reference pan are placed in
the DCS furnace, Figure 3.11(c) and Figure 3.11(d) show the furnace details.
Isothermal experiments were established to run at 80 ºC for 180 minutes. Figure
3.12 illustrates the DSC procedure using a flowchart.
(a) (b)
(c) (d)
Figure 3.11 DSC Analysis: (a) Precisa 125A Balance; TA Instruments Tzero press; and TA Instruments hermetic aluminium pans. (b) Modulated DSC 2920. (c) Modulated DSC 2920 Furnace. (d) Upper view of modulated DSC 2920 Furnace.
94
Figure 3.12 DSC procedures.
3.4.3.2 Thermal Gravimetry Analysis (TGA)
TGA tests weight changes in a material as a function of temperature or time under
a controlled environment. Its fundamental uses include measurement of a
material's thermal stability and composition. TGA tests were conducted using a
Perkin Elmer (USA) TGA7 analyser attached to a TAC controller, gas changer and
computer. The samples (2-5 mg) were heated to 700°C at a heating rate of
10°C/min under nitrogen (20 mL/min). A platinum crucible was used as the
reference. Ample was scanned at 10 °C/min from 30 °C (close to ambient). At 700
°C automatic gas was switched to air (oxygen present to oxidize and residue to
carbon dioxide). At 750 °C the scan stopped, as any residue after air oxidation will
not be organic.
95
3.4.4 Scanning Electron Microscopy (SEM)
The morphology of the samples was studied using SEM. PC resin or PC
composite was affixed to aluminium pegs with carbon tape, then sputter- coated
with gold for 60 seconds at 0.016 mA (Ar plasma) using an SPI-Module sputter
coater (SPI Supplies Division of Structure Probe, Inc.). SEM images were then
obtained using a German Zeiss Supra 40 VP electron microscope operating with a
high vacuum, as shown in Figure 3.13.
Figure 3.13 ZEISS Supra 40 VP SEM.
3.4.5 Fourier Transform Infrared Spectroscopy (ATR-FTIR)
ATR-FTIR measurements in attenuated total reflectance mode (Spectrum 100,
PerkinElmer) were carried out with a universal diamond ATR top plate accessory
in the scanning range 4000 to 550 cm-1 with a resolution of 2 cm-1 and with 8 scans
for each spectrum.
96
3.5 Methods of testing polymer concrete composite system
The mechanical properties of PC composite systems were studied and the results
are presented in following sections. The method of sample preparation is
described prior to all testing methods. Mechanical properties such as compression
strength and flexural strength were tested according to Australian standards. CTE
were measured using the same techniques as were used for the resin. The
structural damping factor was measured for a system containing a PC sample
damping factor. This procedure is not a method for measuring the damping factor
of PC as a material property it provides an indication of the damping factor for the
PC. All the properties that measured is in accordance with the selection criteria of
the PC base manufactured for the precision tool machine.
3.5.1 Sample preparation for polymer concrete composite system
Aggregate preparation begins with the preparation of the appropriate amount of
each aggregate. In these samples, 60% basalt, 30% sand and 10% of fly ash was
used. The overall aggregate volume fraction was 83% and the remainder was
resin. Figure 3.14 illustrates all aggregates used in the PC mixes for different
compositions.
97
Figure 3.14 Aggregates used in polymer concrete for different compositions.
All the aggregates were kept for three hours inside the vacuum chamber to reduce
the moisture content to approximately zero. During this process, the temperature
in the vacuum chamber reached 160 °C. When the aggregates cooled down, the
moisture content was checked according to the method described in Section 3.3.6.
Figure 3.15 shows the vacuum chamber during the drying process of the
aggregates.
Figure 3.15 Drying aggregates using vacuum chamber.
98
Resin preparation was carried out by mixing the following chemical composition,
as shown in Table 3.13, where the resin volume fraction was 17%. Resin volume
fraction and aggregate volume fractions varied, depending on the intention of
each experiment.
Table 3.13 Resin chemical constituencies and volume fraction for each.
Chemical constituents Volume fraction
MMA, (%) 60 ARAPOLE, (%) 40 Cobalt peroxide,(%) 0.8 MEKPT, (%) 2 DMA, (%) 0.2
Once the resin compounds were mixed with the initiator (MEKP), the PC
composite mixing process started by mixing the smallest size aggregates (fly ash
or chalk) with the whole amount of resin using a traditional concrete mixer. Once
the fly ash had been mixed with the resin until all the fly ash was wetted by the
resin, the next size aggregate (sand or spodumene) was added. Mixing continued
until the sand and the fly ash were completely wetted. The coarse aggregate was
added last. Upon completion, the PC mixture was poured into the mould and,
during pouring, the mixture was compacted using a wooden stick. When the
pouring of the polymer concrete was finished, the mould was transferred to a
vibrating table. G-clamps were used to fix the mould onto the vibrating table for
further compaction and particle settling. The frequency was set to 22Hz. The time
required for the particles to settle was determined by observation of the resin
99
bubbling in the PC composite during the vibration process. The resin started
floating after 7 -10 minutes or less and the resin bubbling usually appeared to stop
after 12-15 minutes. Figure 3.16 shows the mould mounted on the vibrating table.
The mixing process for preparing the PC sample was standard sequence of adding
the materials. Mixer was a regular concrete mixer, the speed of mixing was 100
RPM and the mix seemed to be non- uniform.
.
(a) (b)
Figure 3.16 Mould mounted on the vibrating table using G-clamps for sample preparation, (a) compression test mould and (b) flexural tests mould.
Once settled, the sample was transferred to the ventilated curing room to avoid
the smell coming from PC as it is an occupational hazard under Health and Safety
regulations. The PC samples stayed in the curing room for up to 28 days before
being transferred to the testing facility for compressive or flexural tests.
100
3.5.2 Compressive strength
Compressive tests were carried out according to Australian standards AS 1012-
8.2.2000. Cylindrical specimen size was a diameter of 100 mm in diameter × 210
mm high, as shown Figure 3.17.
Figure 3.17 Sample for a compressive test (AS 1012.9-1986).
The mould used for making the sample was steel, covered by a releasing agent
and gel-coated, as illustrated in Figure 3.18. The purpose of the gel coat was to
facilitate the release of the sample.
101
Figure 3.18 Gel coated cylindrical steel mould.
The testing machine used was a German-built Alpha 3, with two columns, with a
crosshead speed of 0.5 mm/min. A ring frame holding three distance sensors was
mounted on the sample for lateral displacement, while the machine itself
measured the longitudinal displacement. The outcome could be plotted in a stress-
strain diagram. Figure 3.19 shows the experimental set up.
Figure 3.19 Compression test for polymer concrete sample.
102
3.5.3 Flexural strength
The flexural strength was determined in accordance with Australian standards AS
1012.11-2000 Figure 3.20 and Table 3.14 demonstrate the standard’s test setting for
flexural strength. The testing machine is a German built Snitch 60/D, with a
universal testing machine load range of 300KN. The crosshead speed during the
test was 0.5mm/min, and the calibration remained valid at the time of testing.
Figure 3.20 Test settings for flexural strength according to AS 1012.11-2000.
Table 3.14 Centre-to-centre distance of the supporting and loading roller for
100X100 cross-section samples prepared for flexural strength test.
Supporting roles L,(mm) 300 +8,-3
Loading roles l ,(mm) l = L/3
103
The mould was designed using Pro/Engineer software according to the
Australian standards, as shown in Figure 3.21 and Figure 3.22. The mould was
fully disassembled to overcome all the difficulties that might occur when the
sample was fully cured and ready for removal from the mould but a coat of gel
was still needed to ease the release of the PC sample from the mould. Figure 3.23
shows the Snitech 60/D during a flexural test.
Figure 3.21 Fully disassembled rectangular mould for preparing a flexural strength sample.
104
Figure 3.22 Fully disassembled rectangle mould manufactured and ready to be used.
Figure 3.23 Sintech 60/D universal testing machine for conducting a flexural test according to AS 1012.11-2000.
105
The fracture within the middle third of a specimen’s flexural strength can be
calculated as follows:
)1.3.........(...................................................
)1000(2DB
plfcf =
where:
cff = Modulus of rupture, in mega Pascals.
p = Maximum applied force indicated by the testing machine, in kilo newtons
(kN).
l = Span length, in millimetres.
B=Average width of the specimen at the section of failure, in millimetres.
D= Average depth of specimen at the section of failure, in millimetres.
3.5.4 Measuring the structural damping ratio for a system containing 85-90%
polymer concrete
This test does not identify the damping ratio of PC as a material property. The test
is to identify the damping ratio of a structural system that consists of 85-90% PC.
Furthermore, it reveals the damping ratio of PC that could affect the overall
structural system-damping ratio. It also reveals the effect of the main source of
damping, namely the resin, and how the resin volume fraction affects the overall
structural damping ratio. A tap test was used to measure the damping ratio. In
this test, a PC sample is set as a simple supported beam and tapped by hand. The
frequency response is detected, and then the damping ratio is calculated using one
of the methods available to calculate the damping ratio. Prior to describing the
method in detail, the details of the samples and the mould will be described. The
mould was designed using Pro/Engineer software. Figure 3.24 illustrates a
detailed drawing of the mould assembly.
106
Figure 3.24 Cross-section and exploded assembly drawing for the mould used for preparing a PC sample for the purpose of measuring damping ratio.
The following considerations were followed when designing the mould:
It must be thinner and longer than the flexural strength mould. It must be fully
disassembled to consider the adhesion of the PC. In addition, ease of assembly and
disassembly as well as safety must be carefully accommodated in the design. The
dimensions of the samples produced by the mould were 500 mm ×50 mm ×25
mm.
The structural design of the sample is set up as a simply supported beam as it is
quite similar to the structural design of the bases for precision tool machines.
Figure 3.25 illustrates the PC sample and an accelerometer mounted to capture the
frequency and the amplitude in Z direction. An accelerometer model 3192A, was
connected to the amplifier model MODE4114B1. Both were made by Dytran
Instruments, USA.
107
Figure 3.25 The accelerometer mounted on PC sample.
The amplifier was connected to the data acquisition system Model SCI-1000, made
in Hungary by National Instruments, which fed the data to the computer to be
analysed using data interface software (Lab view). Figure 3.26 shows the
amplifier, data acquisition system and the computer. The measurement of the
frequency and the amplitudes starts when the sample is tapped and the
accelerometer captures the movements of the sample. The accelerometer converts
the sample movements to a voltage signal that is amplified for transfer to the data
acquisition system. It is then converted into a digital signal using a DAQ data card
made by National Instruments, USA. The computer receives a digital signal to be
analysed by software signal analysis, which presents the data in the time domain
or frequency domain, as required.
108
3.26 The amplifier connected to both the accelerometer and data acquisition system to supply data to the computer.
There are different methods of estimating the damping ratio, using either time or
frequency domain analysis. Logarithmic Decrement Analysis (LDA) can be used
for the time domain analysis and Half Power Bandwidth (HPB) can be used for
the frequency domain analysis. For this study, LDA was chosen to calculate the
structural damping ratio. Figure 3.27 illustrates the LDA analysis. The decay in
vibration amplitude, which is defined as the natural log of the ratio of the size of
two peaks, m cycles apart, can be estimated using Equation 3.2.
)2.3(..........ln1mn
n
yy
m +
=δ
109
where yn is the amplitude of the nth cycle and yn+m is the amplitude of the n+mth
cycle. The damping ration can then be found from Equation 3.3.
)3.3..(..........2πδζ =
Figure 3.27 Logarithmic Decrement Analyses (LDA).
The time domain can be obtained with a tap test obtained using Excel, as shown in
Figure 3.28. The structural damping ratio can be calculated using the LDA
method.
110
-10
-5
0
5
10
15
1 1.5 2 2.5 3 3.5 4
Time (S)
Ampt
itude
(µm
)
Figure 3.28 Time domain obtained using Lab View software.
3.5.5 Measuring coefficient of thermal expansion (CTE) for PC composite
The only difference in measuring CTE for PC as a composite material is
the sample size. The samples used for flexural strength testing were
identical to those used for the CTE test, with the same equipment and
formulas. Figure 3.29 illustrates the custom-built device in a schematic
diagram with the set-up for measuring the CTE of PC composite.
111
Figure 3.29 Schematic diagram of CTE custom-built device.
112
Chapter 4
4 Optimization of polymeric matrix
4.1 Introduction
This chapter describes the effect of resin’s chemical composition on the CTE,
damping factor, flexural strength, tensile strength and hardness through
procedures to determine the optimum resin for use as a resin binder in PC for the
bases of precision tool machines. The nature of the application requires a PC with
high damping, low CTE and high flexural strength. The main source of the
properties required by the application is the resin. Resins of various ratios of
styrene: ARAPOL and methyl methacrylate (MMA): ARAPOL (36% UPE and 33%
styrene) were made and the curing kinetics were followed using viscosity
measurements and exothermic reaction temperature profiles. The resins were
studied using dynamic mechanical analysis and in-house thermal expansion
measuring devices. In addition, resin kinetic analysis was considered in resin-
aggregate mixing performance to achieve the lowest viscosity for the optimized
resin. The exothermic reaction temperature profile was also considered, to
113
determine the lowest level to avoid thermal degradation and thermal stresses in
order to eliminate a potential fatigue point. This ensured that the nominated resin
was equipped with superior mechanical strength and the optimum capacity to
damp the unwanted vibration generated during operation of the precision tool
machine, and to have a low CTE.
4.2 Curing of unsaturated polyester resin
The curing of UPE resin is a radical polymerization process involving three steps:
initiation, a propagation process, and a termination step. The initiator used was
MEKP, which produces a radical species at room temperature. The unsaturated
polyester used was ARAPOL. This is an industrial mixture of UP (67%) and
styrene (33%). Another vinyl-based monomer (MMA) was added to this mixture
to reduce the viscosity and improve the mixing and potential mechanical
properties. Cobalt octoate was used as a promoter in the curing process. During
resin curing, the material went through three phases: viscous liquid, gel and solid.
Each phase was imprinted by incentive conversions in the thermo-mechanical
properties of the resin (Ramana Reddy et al., 2002)
UP + MMA + St + MEKPTDMA
Co OctoateCrosslinked Resin
114
4.2.1 Initiation step:
The initiation step starts with the production of free radical species from the
initiator, followed by the first monomer, which may be the unsaturated bonds in
the UPE, styrene or MMA monomers, based on their reactivity ratio Figure 4.1
shows the initiation step.
O
O
OO
OOH
OOH
MEKPT
MMA
Light or heatOHO
OOH
OO
OOH
O
R O C O
O
OR+
+ +
Styrene
R O+CH O
R
Figure 4.1 Initiation step for polymerization
4.2.2 Propagation step:
The propagation step proceeds when the radical species produced in the initiation
step reacts with double bonds in the unsaturated segments (Sidney, 1986) of the
UPE (UP) or, MMA or styrene, as shown in Figure 4.2.
115
C O
O
OR
O O
OO
O
O
O
O
OO
UPS
O O
OO
O CH
O
O
O
R
O
O
OR
+nm
k
Figure 4.2 Propagation step for unsaturated polyester resin
The presence of multiple unsaturated bonds in the UPE causes the growth of the
resin in a cross-linked network form during this step.
4.2.3 Termination step:
The termination step ends the growth of the living radical ends in the growing
segments of the polymeric network. This can occur through the reaction of two
radical ends or the free radical species with growing ends. It produces a saturated
bond, as shown in Figure 4.3.
116
OH O
OOH
OO
OOH
O
R OC O
O
OR
+
CH OR
CH
O O
OO
O
O
O
O
R
O
O
OR
O O
OO
O
O
O
O
R
O
O
OR
R
Figure 4.3 Termination step of unsaturated polyester copolymerization
The UPE resin curing process is an exothermic reaction. Thus the rate of this
process is essential to the dissipation of the produced heat, and the integrity and
uniformity of the resin produced. Here MMA monomers was used to reduce the
reaction rate based on MMA reactivity ratio (Gan et al., 1994).
117
4.3 Rheological analysis
The purpose of the rheological analysis was to nominate the resin composition
according to the optimization criteria for the resin binder in the PC used in bases
for precision machinery. Rheological analysis was conducted to examine the effect
of the addition of different proportions of styrene and MMA on the viscosity
growth and exothermic temperature of the resin binder. According to the
optimization criteria, the nominated resin should have the lowest viscosity growth
and exothermic temperature.
4.3.1 The effect of styrene/UPE ratio
The effect of the styrene/UPE ratio on the curing rate was investigated by
increasing the initial 30:70 ratio in ARAPOL and adding more styrene to the
mixture. The addition of excess styrene reduced the initial viscosity of the mixture
and increased the gel time in the curing process. The ARAPOL/styrene ratio was
varied from 68:32 (68% ARAPOL) to 25:75 (25% ARAPOL) causing the viscosity
growth rate to increase, as shown in Figure 4.4. The gel time increased from 1
minute to 28 minutes, as illustrated in Figure 4.6 based on gel time measurement.
The method is described in Section 3.4.2.3 and the viscosity measuring method is
described in 3.4.2.1.
118
10
100
1000
0 10 20 30 40
Visc
osity
(cP)
Time of curing (min)
ARAPOL 25%
ARAPOL 40%
ARAPOL 50%
ARAPOL 68%
Figure 4.4 Viscosity versus time for all ARAPOL/styrene compositions
210
106
64
136
0
50
100
150
200
250
20 30 40 50 60 70 80
Gel
tim
e (m
m)
ARAPOL Volume fraction (%)
Figure 4.5 Gel time versus ARAPOL volume fraction for ARAPOL/MMA composition.
119
28
16.5
12.5
9
10
5
10
15
20
25
30
35
20 30 40 50 60 70 80
Gel
tim
e (m
m)
ARAPOL Volume fraction (%)
Figure 4.6 Gel time versus ARAPOL volume fraction for ARAPOL/ styrene composition.
4.3.2 The effect of MMA/styrene/UPE ratio
MMA is a monomer with a lower reactivity coefficient compared to styrene. It was
used to reduce the initial reaction mixture viscosity and to reduce the curing rate
of the resin (Gan et al., 1994). Comparing the viscosity increase of the curing
MMA/styrene/UPE with that of styrene/UPE shows a further decrease in
viscosity values and viscosity increase rates for the MMA/styrene/UPE with
similar monomer/UPE ratios, as illustrated in Figure 4.7. This enhances the
mixing efficiency with the initiator and promoter, producing a more uniform solid
resin. It also enhances the mixing of the aggregate with the liquid containing the
initial resin components in the PC formulation, by giving more time when the
polymerizing mixture is still a flowing liquid. Gel time increased from 6 minutes
to 210 minutes as MMA increased, as shown in Figure 4.5, while the gel time
increased from 1 minute to 28 minutes as styrene content increased, as shown in
Figure 4.6. The resin gel time outcomes supported the viscosity outcomes. This
120
reduction in viscosity growth rate and increase in gel time in ARAPOL/MMA
compositions qualified the ARAPOL/MMA compositions as being appropriate in
terms of the potential mixing enhancement of the aggregate with the liquid resin
in the PC formulation. It also allows more time when the polymerizing mixture is
still a flowing liquid resin to guarantee the wetting of all aggregates particles and
therefore enhances the PC composite’s mechanical properties.
10
100
1000
0 20 40 60 80
Visc
osity
(cP)
Curing time (min)
ARAPOL 25%
ARAPOL 40%
ARAPOL 50%
ARAPOL 68%
Figure 4.7 Viscosity versus time for all ARAPOL/MMA compositions
121
4.3.3 Exothermic temperature ARAPOL/Styrene compositions
The temperature of resin for ARAPOL/Styrene compositions was measured
according to the method described in Section 3.4.2.1. Figure 4.8 illustrates the
exothermic temperature profile for ARAPOL/styrene compositions. The
ARAPOL/styrene ratio was varied from 20:80 (20% ARAPOL) to 75:25 (75%
ARAPOL), which caused the exothermic temperature to increase from 21.3 – 144.4
°C. In other words, an increase of styrene increases the exothermic temperature. It
is not desirable to have an elevated exothermic temperature as high as 144.4 °C or
103.13 °C, because a substantial increase of exothermic temperature can cause
thermal degradation of resins, the formation of residual stresses and excessive
shrinkage leading to crack formation.
122
0
20
40
60
80
100
120
140
0 20 40 60 80 100
60%ARAPOL/40%Styrene75% ARAPAOL/25%Styrene68% ARAPOL/32%Styrene50% ARAPOL/50 %Styrene20% ARAPOL/80%Styrene
Time (Minutes)
Tem
pera
ture
(°C)
Figure 4.8 Exothermic temperature profile during the curing of ARAPOL/styrene compositions.
4.3.4 Exothermic temperature ARAPOL/MMA compositions
The exothermic temperature profile is relatively lower in ARAPOL/MMA
compositions than in ARAPOL/styrene compositions. Figure 4.9 shows the
exothermic temperature profile for ARAPOL/MMA compositions. Increasing the
ARAPOL/MMA ratio from 25:75 (25% ARAPOL) to 75:25 (75% ARAPOL) elevates
the temperature from 0.5 - 123 °C. The increase in UPE increases the exothermic
temperature while, the increase of MMA decreases the exothermal temperature.
123
Figure 4.9 Exothermic temperature profile during the curing of ARAPOL/MMA compositions.
4.4 Mechanical properties
The mechanical properties were investigated according to the optimization criteria
for PC used for the manufacture of bases of precision tool machinery. All of the
resin compositions were tested, and the resin that complied most fully with the
optimization criteria was deemed the most suitable for the polymeric matrix.
Rheological analysis was required to verify the final determination of the
optimum resin.
124
4.4.1 Damping factor for polymeric matrix
Damping is the energy dissipation properties of a material or system under cyclic
stress. The damping factor is a dimensionless measure describing how oscillations
in a system decay after a disturbance. Many systems exhibit oscillatory behaviour
when they are disturbed from their position of static equilibrium. In DMA the
damping factor is the ratio of the storage modules to the loss modules. A high
damping factor is the primary reason that thermoset resin is used as a binder in
the PC for manufacturing the bases of precision tool machinery. This property
constructs the functionality of damping the unwanted vibration in the bases of
precision tool machinery. The damping factor was measured for all compositions
of ARAPOL/styrene and ARAPOL/MMA using dynamic mechanical analysis
(DMA), except for the 25% ARAPOL/styrene resin composition, because the resin
sample was unsuitable for performing the DMA analysis, as shown in Figure 4.10.
The reason is that increasing the styrene ratio causes a high degree of shrinkage
and fracture in the resin after curing due to internal stresses. This makes it
impossible prepare a sample suitable for assessing the mechanical properties. An
isothermal frequency sweep for a dual cantilever was conducted in the frequency
range of 1-200Hz, as precision tool machine work is in the range of 60-6000 rpm
(Gale, 2008). In addition, the base structural design is a simple supported beam
similar to the DMA experimental set-up. Figure 4.11 illustrates the DMA analysis
of the results for the damping factor versus frequency for all compositions. The
composition with the highest damping factor (tan delta), which was almost
constant is 40% ARAPOL/MMA which reached a damping factor of 0.0458.
125
Figure 4.10 25% ARAPOL/styrene sample.
Figure 4.11 Damping factors of all resin compositions versus frequency plotted using universal V4 software from TA instruments.
Figure 4.12 shows the value of tan (δ) for all resins versus ARAPOL volume
fractions. ARAPOL/styrene composition does not show a trend. With
ARAPOL/MMA, an increase of ARAPOL volume fraction decreased the damping
factor after reaching the maximum at 40% ARAPOL/60%MMA composition. The
126
damping factor decreased rapidly after reaching the maximum, as shown in
Figure 4.12. At higher ARAPOL ratios the weak damping properties are mainly
due to the highly cross-linked UPE network. In the case of resins containing UPE,
MMA and styrene two parameters can contribute to the damping properties of the
cross-linked polymer; (1) the length of uncross-linked segments in the MMA
containing resins, and (2) the degree of cross-linking in both these resins. Higher
ratios of MMA increase the length of the uncross-linked segments in UPE,
increasing the loss modulus in the cross-linked network by allowing for a fraction
of the mechanical energy to be absorbed in the free chain segments while shearing
during the applied strain. This may explain the high damping factor of the
MMA/ARAPOL composition.
40, 0.0175
50, 0.016
68, 0.023
75, 0.021
25, 0.034
40, 0.045
60, 0.0378
75, 0.0218
0.01
0.02
0.03
0.04
0.05
0.06
0.07
20 30 40 50 60 70 80
Tan
(δ)
ARAPOL Volume fraction, %
ARAPOL/Styrene ARAPOL/MMA
Figure 4.12 Damping factor of all resins at frequency of 100HZ, ARAPOL/styrene and
ARAPOL/MMA compositions.
127
4.4.2 Flexural strength
Flexural strength is an essential property for both the resin and the PC composite
system, due to the structural design of the base for a precision tool machine, which
acts as a simply supported beam. The resin with the highest flexural strength
would have a positive reflection on the overall composite material performance,
since resin is the backbone of the PC composite system. The flexural strength
varies according to the amount of ARAPOL in each composition. Figure 4.13
illustrates the effect of ARAPOL volume fraction on UPE resin containing styrene
and MMA on maximum flexural strength. ARAPOL/MMA compositions seem to
have a higher strength than the ARAPOL/styrene compositions. This can be
explained by the increase in the phase separation level as the styrene in
ARAPOL/styrene is increased (Sanchez et al., 2000). The addition of excess MMA
increases the flexural strength of ARAPOL/MMA from 73.7 to 128 MPa when it
reaches the maximum at 40% ARAPOL/MMA, then it decreases even more than
the ARAPOL/styrene. The reactivity coefficient for MMA is lower compared to
styrene which is used initially to reduce the initial reaction mixture viscosity and
reduce the curing rate of the resin (Gan et al., 1994). This situation enhances
mixing initiator and promoter with the composition, and may be the reason for the
ARAPOL/MMA composition having good mechanical properties compared to the
ARAPOL/styrene composition (Rodriguez, 1993).
128
25, 57.4
35, 84.9 50, 85.5
60, 96.775, 90.3
75, 73.7
65, 98.6
50, 113
40, 12825, 119
50
75
100
125
20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0
Flex
tura
l str
engt
h (M
Pa)
ARAPOL volume fraction (%)
ARAPOL/Styrene
ARAPOL/MMA
Figure 4.13 Effect of ARAPOL volume fraction on flexural strength.
4.4.3 Tensile strength
Tensile strength was tested for different resin compositions, and the method is
described in Section 3.4.1.1. Tensile strength was higher for ARAPOL/MMA than
the ARAPOL/styrene compositions at the maximum. The tensile strength of
ARAPOL/MMA followed a similar behaviour to the flexural strength. The highest
strength was reached at 40% ARAPOL/MMA 58.6 MPa, as shown in Figure
4.14(a). The strain was lower for ARAPOL/MMA compositions than for
ARAPOL/styrene, as can be inferred from Figure 4.14(b). The maximum strain
was reached at the same resin composition at which maximum strength was
reached. As shown in Figure 4.14, the strain for the 40% ARAPOL/MMA was
10%, which was low when compared with the same composition of 40%
ARAPOL/styrene, which was 11.5 %.
129
Figure 4.14 Effect of ARAPOL volume fraction on (a) tensile strength, (b) strain for compositions containing MMA and styrene individually.
The modulus of elasticity was calculated. ARAPOL/MMA compositions
demonstrate a higher level in modulus of elasticity than the ARAPOL/styrene
compositions. Increasing ARAPOL or decreasing MMA can increase the modulus
of elasticity at different levels of ARAPOL/MMA composition. Increasing the
ARAPOL can increase the modulus of elasticity of ARAPOL/styrene
compositions, except for the last point in 75%ARAPOL/styrene composition,
which reduced rapidly as it was the lowest, as is shown in Figure 4.15.
130
531.75
601617
631
480
707
759 769758
782
450
500
550
600
650
700
750
800
850
20 30 40 50 60 70 80 90 100
Mod
ulus
of e
last
icity
(M
Pa)
ARAPOL volume faction (%)
Aropol/Styrene
Aropol/MMA
Figure 4.15 Effect of ARAPOL (%) on modulus of elasticity for ARAPOL/Styrene and ARAPOL/MMA.
4.4.4 Coefficient of thermal expansion (CTE) for polymeric matrix
The most sensitive thermal property for a resin binder in PC is the CTE, which has
a direct effect on precision tool machine accuracy. CTE is the key to control the
behaviour of the PC base deflections, under thermal conditions, in the operational
environment of the bases for precision tool machinery. The first order
approximation of CTE in PC, as a composite, can be obtained using the mixing
rule (Wong and Bollampally, 1999). This relationship can describe the influence of
CTE resin on over all PC CTE.
)1.4.(..................................................).........1( φαφαα −+= mac
131
where cα , mα , and aα are the CTEs of the composite, matrix resin , filler aggregate,
and φ is the volume fraction of the aggregate respectively. The CTE of the
polymeric matrix is usually the highest compared to the CTE of aggregates. In PC,
the CTE of the mortar resin is usually 7 to 10 times higher than the CTE of the
aggregate. Lowering the resin CTE to closer to that of the aggregate and other
components such as cast iron inserts in the PC bases of precision tool machines
produces a more homogeneous composite with uniform thermal expansion and
less thermal stress, since CTE follows the rules for a mixture of composite material
(Bruck and Rabin, 1999). CTEs were measured for numerous resin compositions of
ARAPOL/styrene and ARAPOL/MMA at various proportions. Figure 4.16 shows
resin samples prepared for CTE testing.
Figure 4.16 Resin samples with various proportions of MMA, ARAPOL and styrene prepared for measuring CTE.
Figure 4.17 and Figure 4.18 show the different thermal expansion behaviours for
all compositions with linear behaviour in various grades.
132
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0 20 40 60 80 100
ARAPOL 25%ARAPOL 40%ARAPOL 50%ARAPOL 68%ARAPOL 75%
Elon
gatio
n(m
m)
Temperature (°C)
Figure 4.17 Thermal expansion behaviour of different resins with different proportions of ARAPOL/MMA.
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45
0 20 40 60 80 100
Elon
gatio
n (m
m)
T emperature(°C)
ARAPOL 40%
ARAPOL 50%
ARAPOL 68%
ARAPOL 75%
Figure 4.18 Thermal expansion behaviour of different resins with different proportions of ARAPOL/styrene.
133
These figures (Figure 4.17 and Figure 4.18) were used to calculate the CTE
according to the method described in Section 3.4.1.3, in order to produce a clearer
image of the behaviour of all compositions in relation to CTE. The CTE of all the
compositions increased as ARAPOL volume fraction increased, as illustrated in
Figure 4.19. This is due to the high CTE of the UPE in ARAPOL (67%).
ARAPOL/MMA compositions have lower thermal expansion than
ARAPOL/styrene compositions. This is consistent with reports of low CTE for PC
with polymethyl methacrylate as binding resin (Blaga and Beaudoin, 1985). The
thermal expansion of styrene-rich resin is higher due to the higher molecular
packing factor in these resins, leaving only a small space for molecular expansion
at increasing temperatures. The inclusion of MMA in the resin composition
increases the spatial disorganization and lowers the molecular packing factor,
allowing for the polymer chain expansion to be accommodated in the free space
existing in the cross-linked network of the resin.
8.56
9.3
10.2510.56
6.93
7.98
8.99 9.35
9.02
6
7
8
9
10
11
20 30 40 50 60 70 80
ARAPOL/Styrene
ARAPOL/MMA
α ×10-5 (1/°C-1)
ARAPOL volume fraction( %)
Figure 4.19 CTE for all resin composition versus ARAPOL volume fraction (%).]
134
4.4.5 Hardness
Hardness was measured for a variety of resin compositions, according to the
method described in Section 3.3.2. Figure 4.20 illustrates the relationship between
ARAPOL volume fraction and Shore D hardness. Generally, it is reasonable to say
that an increase in the ARAPOL volume fraction can decrease the hardness in the
ARAPOL/MMA composition.
86.675
85.8585.1
85.875
84.55
80
81
82
83
84
85
86
87
88
89
90
25 40 50 60 75
Har
dnes
s Sh
ore
D
ARAPOL volume fraction (%)
Figure 4.20 ARAPOL volume fractions versus hardness shore D in ARAPOL/MMA composition.
An increase in the volume fraction of ARAPOL does not indicate a trend in
hardness Shore D for ARAPOL/Styrene compositions. The fluctuation in the
increase and decrease of hardness Shore D with an increase in the ARAPOL
volume fraction is shown in Figure 4.21.
135
81.175
85.8585.45
86.775
83.675
80
81
82
83
84
85
86
87
88
89
90
25 40 50 68 75
Har
dn
ess
Sh
ore
D
ARAPOL volume fraction (%)
Figure 4.21 ARAPOL volume fractions versus hardness shore D in ARAPOL/Styrene composition.
4.5 Conclusions
The composition with the highest damping factor of all the resins had 40%
ARAPOL/MMA, which has a damping factor of 4.56%. The highest flexural
strength was reached with the 40%ARAPOL/MMA composition, with 128 MPa
and a low strain of 10%, as compared with the 40%ARAPOL/styrene, which was
11.5 %. The lowest CTE was achieved with 25% ARAPOL/MMA (6.93×10-5 °C-1),
followed by 40% ARAPOL/MMA (7.98×10-5 °C-1). The module of elasticity of the
40% ARAPOL/MMA was 759 MPa. The highest Shore D hardness for
25%ARAPOL/MMA was 86.6 and 85.5 for 40%ARAPOL/MMA. The result of the
mechanical properties shaped the focus for the rheological analysis of the
ARAPOL/MMA compositions, although the ARAPOL/styrene compositions
136
were not ignored. The effects of the UPE/styrene ratio in the ARAPOL/styrene
and the UPE/MMA/styrene ratios in the ARAPOL/MMA composition were
studied. It was concluded that the ARAPOL/MMA compositions were more
suitable for consideration, since the mixing efficiency with the initiator, and the
promoter produced a more uniform resin. In addition, it may also enhance the
mixing of the aggregate with the liquid resin by allowing more time when the
polymerizing mixture is still a flowing liquid. The exothermic temperature profile
was relatively lower in the ARAPOL/MMA compositions than the
ARAPOL/styrene composition. The lowest composition in terms of exothermic
temperature and viscosity was the 25% ARAPOL/MMA, followed by the
40%ARAPOL/MMA. The mechanical properties of 25% ARAPOL/MMA were
very low compared to the 40%ARAPOL/MMA. This resulted in the nomination of
the 40%ARAPOL/MMA as the optimum binder for the PC use in the
manufacturing of bases for precision tool machinery. It meets most of the
optimisation criteria at a good level, while other resins met fewer of the
optimisation criteria and failed some. Table 4.1 shows a comparison of the
optimized resin with the published data on epoxy and UPE with various
monomeric combinations. The epoxy mechanical properties are better than those
of the UPE, as stated in Chapters 1and 2. The average viscosity is very low
compared to published data for both epoxy and UPE, as shown in Table 4.1, which
is an advantage that can be used to enhance the mixing process when the resin is
mixed with aggregates to obtain an PC composite with good mechanical
properties. The reason for this is that the low viscosity of MMA is lower than
water viscosity. In addition, the CTE of epoxy is less than the CTE of the
optimized resin.
137
Table 4.1 comparison of the published data for epoxy and UPE with the
optimized resin
Property The
optimized resin
Epoxy from published literature
References UPE from published literature
References
Damping ratio
0.045 0.134 (Wang et al.,
2008) 0.053 (Ray, 2009)
Tensile strength MPa
58.6 40-90 (IDES, 2013) 4.1-90 (IDES,
2013)
Flexural strength ,
MPa
128 90-145 (IDES, 2013) 60-160 (IDES,
2013)
Viscosity, poise
1.5 (average ) 20 (Vipulanandan
and Paul, 1990) 40
(Vipulanan
dan and
Paul, 1990)
CTE, I/°C 7.93×10-5 12×10-6 (McKeown and
Morgan, 1979)
138
Chapter 5
5 Optimization of the polymer concrete filler
composition system
5.1 Introduction
In this chapter damping properties, flexural strength and the CTE of PC are
investigated for various PC filler compositions. These properties are the main
parameters that can affect the accuracy of precision tool machines and the strength
of the PC base. Six fillers (basalt, spodumene, fly ash, river gravel, sand and chalk)
have been studied. PC samples were prepared with different compositions of
aggregates containing the same resin volume fraction (aggregate 83% and resin
17%). A four-point flexural test was used to measure the flexural strength of the
PC samples. The CTE for PC was measured using an in house custom-built device.
The preliminary optimum composition with the highest flexural strength and the
lowest CTE, was found to be basalt, spodumene and fly ash. The basalt, sand and
fly ash composition was the second best. This second composition was considered
for further optimization in terms of the resin volume fraction because of its ability
to adopt a smaller amount of resin. Different samples of PC were prepared with a
variety of resin volume fractions: 17%, 15% and 13%. The resin volume fraction
139
was demonstrated to have a significant effect on the CTE and flexural strength of
PC. The effect of the resin volume fraction on the PC damping ratio was identified.
It was found that 40% of the reduction in the PC structural damping ratio was due
to the PC resin volume reduction of 4% (17-13%). The final optimized composition
was basalt, sand and fly ash (filler 87% and resin 13%). ANSYS 13.0 software was
employed to visualize the influence of PC compositions on the thermal expansion
of the base and to show how it affected the level of precision of the tool machine.
5.2 Particles properties of aggregates
The aggregates’ true density, ρTrue (g/cm3) was measured using a pycnometer,
and their bulk density ρbulk (g/cm3) was measured using a measuring cylinder.
All methods have been described in Sections 3.3.3 and 3.3.4, respectively. The
packing factor, (VP), was calculated based on the ratio of the obtained true and
bulk densities. The fine aggregate (chalk, fly ash) particle size distributions were
obtained using a laser scattering method facilitated by a Mastersizer X (Malvern
Instruments, USA). Middle and coarse aggregate size distributions were obtained
using sieve analysis. These methods were described in Sections 3.3.1 and 3.3.2,
respectively. Figure 5.1 shows the particle size distributions for all aggregates. The
BET (Brunauer, Emmett and Teller, 1938) active specific surface area of the
aggregates was determined by nitrogen gas adsorption/desorption. The nitrogen
sorption measurements were performed using Micromeritics ASAP 2010 (USA).
The adsorption and desorption isotherms were recorded using an 89-point
pressure table with 15 second equilibration intervals. The method is described in
detail in Section 3.3.5.
140
Figure 5.1 Particle size distributions for all aggregates.
Table 5.1 summarizes the measured aggregate properties and referenced
aggregate properties, such as CTE (αs,°C-1), for each filler (Brandt, 1988, Hummel,
1950).
141
Table 5.1 Properties of all sizes of aggregates: coarse, middle and fine filler.
Material ρBulk
(g/cm3)
ρTrue
(g/cm2)
Vp
(%)
CTE Aggregate
(°C-1)
BET
(m2/g)
Gravel 1.63 2.61 62 11.2×10-6 (Brandt, 1988) 0.12
Basalt 1.6 2.77 58 5.5×10-6 (Brandt, 1988) 0.22
Spodumene 1.56 2.879 54 2.5×10-6 (Hummel, 1950) 0.10
Sand 1.71 2.63 64 11×10-6 (Brandt, 1988) 0.29
Chalk 1.35 2.69 50 10×10-6 (Brandt, 1988) 1.60
Fly ash 1.33 2.71 49 5.2×10-6 (Brandt, 1988) 1.02
The composition aggregate proportions were calculated using the Furnas method
(Furnas, 1931). According to this method, the aggregate number of generations for
particles is obtained based upon the ratio (K) of the biggest particle diameter and
smallest particle diameter. The diameter ratio was calculated using data from
Figure 5.1 and the volume of voids, which is equal to 100 - Vp (%). Vp can be seen
in Table 5.1. Table 5.2 shows the average diameters of the biggest and smallest
particles for each aggregate.
142
Table 5.2 Aggregate average diameters and volume voids.
Aggregates Equivalent
diameter, (μm)
Volume
voids (%)
Gravel 6150 38
Basalt 6570 42
Sand 335 36
Spodumene 328 46
Chalk 18.5 50
Fly ash 31 51
The K ratio for each composite is shown in Table 5.3. The number of generations
obtained was 2.5-2.7 by using Figure 5.2. The number of generations must be in an
integral number format according to Furnase method. The closest integral number
to the number of generation obtained is 3. Three generations were therefore used
for each composition.
143
Table 5.3 Ratios (K) of average smallest diameters to largest diameters for potential compositions.
Aggregates K
Gravel/ Fly ash 0.005
Basalt/ Chalk 0.0047
Gravel /Chalk 0.003
Basalt/ Fly ash 0.0028
Figure 5.2 Recommended number of generations as a function of packing and ratio K.
In Furnas theory, the ideal particle shape is assumed to be spherical (Furnas, 1931).
The void volume fraction for three generations of particles can be obtained by
applying K (0.0028 - 0.005) and the number of generations using Figure 5.3.
144
Figure 5.3 Theoretical packing of particles versus the ratio of smallest to largest generations.
The volume of voids was within the range of 16 - 17 % in PC composition.
According to the Furnas method, the diameter of the intermediate generation, D2,
can be calculated using the following expression:
)1.5.(............................................................312 DDD =
where D1 and D3 are the biggest and the smallest diameter of particle generations.
D2 is calculated for all compositions as shown in Table 5.4.
145
Table 5.4 Intermediate generation for the compositions.
Compositions Intermediate generation D2 (μm)
Gravel/ Fly ash 451.3
Basalt/ Chalk 348.6
Gravel /Chalk 337.3
Basalt/ Fly ash 451.3
All the intermediate generations, D2, is bigger than both of the sand and
spodumene largest particle sizes. The largest particle sizes of sand and spodumene
were (335, 400 μm), as shown in Figure 5.1. This indicates that both spodumene
and sand are suitable for any composition. The total absolute volume of fillers 0V
can be calculated using the following formula:
)2.5...(............................................................111
1
3
2
2
2
1
10 V
VV
VV
V+
++
++
=
Where V1, V2 and V3 are volumes of voids for the largest, intermediate and the
smallest generations respectively. The relative volume of voids can be calculated
using 1-Vp.
146
Table 5.5 Total absolute volume of fillers for each composition.
Compositions Absolute volume of all fillers, 0V
Basalt/ spodumene/fly ash 1.132
Basalt/spodumene/chalk 1.133
Basalt/ sand/fly ash 1.098
Basalt/ san/chalk 1.1
Gravel/sand/fly ash 1.089
Gravel /sand/chalk 1.090
Gravel/spodumene/fly ash 1.125
Gravel /spodumene/chalk 1.126
The total volume fraction occupied by the solid particles fV can be calculated using
the following formula:
)3.5.........(..................................................).........1( 210 VVVf −=
147
Table 5.6 Theoretical total volume fraction of solid for each composition.
Compositions Total volume of solid fillers, Vf, (%)
Total volume of void
(1-Vf),(%)
Basalt/ spodumene/fly ash 93.2 6.8
Basalt/spodumene/chalk 93.3 6.7
Basalt/sand/fly ash 90.4 9.6
Basalt/san/chalk 90.5 9.5
Gravel/sand/fly ash 93.1 6.9
Gravel /sand/chalk 93.3 6.7
Gravel/spodumene/fly ash 96.2 3.8
Gravel /spodumene/chalk 96.3 3.7
The volume fraction of each aggregate component Pi can be calculated using the
following formula:
)4.5....(............................................................) (PioV
Vi=
Where Vi is the packing fraction of individual aggregates that can be obtained
from Table 5.1. oV is the absolute volume of each composition and can be obtained
from Table 5.5.
Equation 5.4 can be rewritten as follow:
148
)5.5...(......................................................................) (Pio
p
VV
=
Table 5.7 Volume fraction for each aggregate within its composition for all compositions.
Compositions Volume fraction of each aggregate (%)
Basalt/ spodumene/fly ash 51 , 47, 2
Basalt/spodumene/chalk 51, 47, 2
Basalt/ sand/fly ash 52, 38, 10
Basalt/ san/chalk 52 , 38, 10
Gravel/sand/fly ash 53, 38, 10
Gravel /sand/chalk 53 , 37, 10
Gravel/spodumene/fly ash 55, 35, 10
Gravel /spodumene/chalk 55 , 35, 10
This approach takes into account the volume of voids and provides a good
indication of possible filler compositions (Furnas, 1931). However, it does not take
into account particle shape and is to be used mainly for spherical bodies. Another
approach is based on the wetting of the particle surface (Michaylov, 1989).
According to this approach, the volume of resin can be identified using the
following expression:
)5.5.......(..................................................)( 2211 rrr KVSVSVV ηδο +=
149
where Si is the specific surface area of aggregates, δr is the thickness of resin (1.5 -2
μm), K is a constant = 1.05 and ηr is the relative viscosity at the temperature of
moulding with a reference temperature of 20°C. The smallest aggregates are not
taken into account (Michaylov, 1989). The main problem with this approach is that
it does not take into account voids between aggregates.
Theoretical calculations can provide valuable information about the composition
of solid filler in terms of better packing. However, the volume fraction of the
mortar can be identified only after a set of trial tests on the PC materials. The
results obtained by using the Furnas method were implemented as a start in the
trial procedure. Numerous trials were run to obtain the aggregate composition
and the amount of resin that keep the resin surfaced for all the composition
samples at the end of the moulding operation. It was found that the best aggregate
proportions for the PC mixture were as follows:
Fine aggregate 8.3%, coarse aggregate 49.8%, middle size aggregate 24.9% (v/v)
and 17% (v/v) resin. The preparation of the sample of PC was described in Section
3.5.1.
5.3 Thermal expansion of composite material
When heat is applied to a material, there is a change in temperature T1 → T2 with
a corresponding change in volume V1 → V2. If the difference between
temperatures is small, the change in volume is in direct proportion to the
temperature change by a coefficient, β, which is called the coefficient of volumetric
thermal expansion. The corresponding coefficient for the linear case is the
150
coefficient of the linear thermal expansion, α. If the substance is isotropic, the
relationship between linear and volumetric coefficients of thermal expansion is as
follows: β=3α (Touloukian, 1977). Thermal expansion of any composite material in
general, where filler is dispersed in a matrix, depends upon the following factors
(Touloukian, 1977, Chawla, 1988):
Thermal expansion of matrix, αm
Thermal expansion of dispersed filler, αf
Volume fraction of filler or matrix, Vf, Vm
Isothermal bulk modulus of filler, Bf
Isothermal bulk modulus of matrix, Bm
Shear modulus of matrix Gm
The component is considered to be incompressible, when Bf and Bm values are
infinite. The coefficient of thermal expansion for a composite material cα may be
determined using the rule of mixture (Chawla, 1988, Touloukian, 1977) according
to the following expression:
)6.5.........(........................................).........1( fmffc VV −+= ααα
It seems that the reduction of CTE of the matrix and filler reduces the CTE cα of
the composite material. In addition, the volume fractions of resin and filler have
an effect on cα . To reduce the CTE of PC, an experiment in each direction was
151
feasible. However, the one with the highest feasibility was the resin reduction,
since the resin is the component that has the highest CTE (7.98 ×10-5 °C-1).
5.4 Results and discussion
Aggregate surface morphology, particle size distribution, voids and resin volume
fraction are synergic and fatalistic parameters in governing the thickness and
shape of interfacial adhesion bonding (IAB) between PC particles. The main driver
of the thermal and mechanical properties of PC such as CTE and flexural strength
is the interfacial adhesion bonding between particles. The thermal properties of
particles and aggregate proportions affect the overall CTE of PC (Xu et al., 1994).
Figure 5.4 shows a PC sample demonstrating the failure mechanism that went
through the interfacial adhesion bonding between filler particles, i.e. the polymeric
matrix.
Figure 5.4 SEM of failed PC sample: the failure mechanism is going through the interfacial bonding between filler particles, in this case fly ash.
152
Eight compositions were investigated and compared in order to select the one
with the highest flexural strength and the lowest CTE. Figure 5.5 shows PC
samples for all compositions.
Figure 5.5 Samples of polymer concrete of different compositions.
The preliminary suggestion of optimum composition for a precision machine base
application was basalt, spodumene, and fly ash, as shown in Table 5.8. The
flexural strength was 22.85 MPa, due to the fact that crushed basalt increases the
flexural strength of concrete (Kilic et al., 2008), basalt surface contains rough
textures (rough surface) due to the crushing process. Fly ash also increases the
flexural strength of polymer concrete (Rebeiz and Craft, 2002).
153
Table 5.8 Aggregate compositions used in the PC formulations in this study and their flexural strength and CTE.
Spodumene, which comes from lithium mining, has textures attributable to the
mining process. Figure 5.6(a) shows spodumene particles indicating that the
microstructure of spodumene is in the form of crystallite layers (J.Graham, 1975).
The layers may partially separate to some extent at the beginning and the end of
the layer during mixing. This allows the mixture of fly ash-resin to flow between
the spodumene layers, basalt textures and microspore cavities, since fly ash is the
first filler mixed with the resin. Spodumene and basalt are then added to the PC
mixture. This condition results in higher adhesion bonding between the polymeric
matrix and the aggregates.
No. Compositions Flexural Strength
(MPa)
Deflection
(mm)
CTE
(°C-1)
1 Basalt, spodumene, fly ash 22.85 1.458 10.0×10-6
2 Basalt, sand, fly ash 22.41 1.05 14.9×10-6
3 Basalt, spodumene, chalk 21.57 1.007 10.3×10-6
4 Basalt, sand, chalk 20.05 1.00 16.1×10-6
5 Gravel, sand, fly ash 18.92 0.94 14.6×10-6
6 Gravel, spodumene, chalk 18.22 0.90 12.6×10-6
7 Gravel, spodumene, fly ash 16.27 0.97 12.5×10-6
8 Gravel, sand, chalk 16.92 0.92 18.8×10-6
154
Figure 5.6 SEM images of (a) Spodumene: with hard and sharp textures containing layers, (b) Sand: round and smooth, (c) Fly sh: spherical shape and smooth surface, (d) Chalk: irregular shape with texture.
In addition, fly ash particles have a spherical shape, a smooth surface and a micro
size, as shown in Figure 5.6(c). This leads to low viscosity at the time of mixing
the fly ash with the resin, as compared to chalk, as illustrated in Figure 5.7. This
indicates the high flow ability and filling capability of the fly ash-resin mixture.
The basalt texture and the layers of spodumene facilitate the formulation of a
highly adhesive interfacial bonding between the polymeric matrix and the
aggregate. This is a possible explanation for the high flexural strength of the first
composition.
155
Figure 5.7 Viscosity of mixture resin fly ash, resin chalk versus time.
The first composition scored the lowest of CTE, 10.0×10-6 °C-1. All aggregates have
a low CTE (Hummel, 1950, Brandt, 1988), and the lowest value is spodumene, as
shown in Table 5.1. The flexural strength of the second composition (basalt, sand
and fly ash) was 21.41 MPa. Sand has a higher BET active surface area than
spodumene, as shown in Table 5.1, and less textural roughness on the surface, as
shown in Figure 5.6(b). In addition, there are no layers in the microstructure of the
sand particles to give extra grip, which may be the reason for the slightly reduced
flexural strength. The second composite had a higher CTE, by approximately 50%,
than the first. This is due to the sand CTE effect, which is almost three times more
than the spodumene CTE and two times more than the fly ash CTE, as shown in
Table 5.1. The main reason for the reduced flexural strength in the third
composition (basalt, spodumene and chalk) is that the chalk particles have a more
active surface area than fly ash, as shown in Table 5.1. This indicates that more
resin is required for efficient wetting. Furthermore, the chalk resin mixture
156
provides less flow ability and filling capability than the fly ash resin mixture, as
shown in Figure 5.7. The reason for this is the irregular shape of the chalk particles
and the number of sharp corners (rough surface), as shown in Figure 5.6(d). This
results in higher viscosity during the mixing, which leads to the formation of a
lower adhesive bonding mechanism on the surface of the aggregates compared to
fly ash. This level of gripping adhesion leads to a reduction of the flexural
strength. The CTE for the third composition is close to the first composition, due to
the presence of spodumene, which has the lowest CTE, as shown in Table 5.8.
The fourth composition (basalt, sand and chalk) suffers because of the chalk and
sand that both share responsibility for low flexural strength and high CTE, for the
reasons explained previously. Replacing basalt with river gravel in the fifth
composition results in a reduction in flexural strength. River gravel has a smaller
BET surface area and a smoother surface than basalt, which may be the reason for
less adhesion and a reduction in flexural strength. River gravel increases the CTE
of the fifth composition, as shown in Table 5.8. It has a higher CTE than other
aggregates, as shown in Table 5.1.
The presence of river gravel, chalk and sand in a PC composite system reduced the
flexural strength and increased the CTE at various levels for different
compositions. This condition was due to the CTE of the particles, as well as their
morphology, and may have resulted in an interfacial bonding that had less
adhesion between particles than basalt, spodumene and fly ash composition.
157
The second composition was nominated for further optimization in terms of resin
volume fraction. This step was owing to its ability to accommodate a resin volume
fraction of less than 17%. The reason is that sand has a high packing volume due
to its rounded particle shape. In addition, the particle shape of fly ash is spherical
have high compaction. Figure 5.8 shows the effect of a reduction in the resin
volume fraction on the CTE of PC.
Figure 5.8 CTE of PC composite versus resin volume fraction.
Decreasing the resin volume fraction results in a decrease in the CTE of PC, since
the resin has the highest CTE (7.98 ×10-5 ºC-1) in PC components. It was noticed
that the layer thickness of segregated fine aggregate, which appears in the upper
level of the sample during the PC sample vibration process, is affected by the resin
volume fraction in PC. Figure 5.9 reveals that increasing the volume fraction of the
158
resin will increase the layer thickness of the segregated fine aggregate-resin
mixture.
Figure 5.9 Layer thickness of segregated fine aggregate for different resin volume fraction.
PC composite follows the rule of mixture regarding composite mechanical
properties. Reducing the resin by 4% reduced the CTE of PC by approximately
31%. The other side effect of resin reduction is flexural strength. Figure 5.10
demonstrates that a reduction in the amount of resin by 4% reduces the flexural
strength by approximately 36%. This is because the amount of resin that fulfils the
interfacial adhesion bonding (IAB) between particles is reduced (Knab, 1972). The
lowest flexural strength is 13 MPa for 13%, which is still acceptable for building a
base. The base cross-section is sufficient to cope with the relatively low flexural
stress, considering the small machine weight in comparison to the base size.
159
10
15
20
25
30
12 14 16 18
Flex
tura
l Stre
ngth
(MPa
)
Resin volume Fraction (%)
Figure 5.10 Flexural strength of PC versus resin volume fraction.
5.5 Effect of resin volume fraction on polymer concrete damping
To identify the effect of the resin volume fraction on the PC damping ratio, a
structural damping test was conducted in order to provide an indication of the
damping ratio of a structural system that contains a PC sample which occupies 80-
90% of the experimental system. A tap test was conducted for PC samples
composed of basalt, sand and fly ash containing 20, 17, 15 and 13% resin volume
fractions. The method of testing was described in Section 3.6.4. A PC sample
containing 20% resin volume fraction was added for the purpose of elucidating the
effect of resin on the damping ratio of the PC. Figure 5.11 shows the time domains
for different samples of PC with 17, 13, and 20% resin volume fractions.
160
-1
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
0 0.5 1 1.5 2Ampl
tude
(µm
)
Time (S)
Resin 13%
Resin 20%
Resin 17%
Figure 5.11 Time domain for different PC samples containing 13, 17 and 20% resin volume fraction.
The damping ratio was calculated for 12 PC samples according to logarithmic
decrement analysis (LDA), as described in Section 3.6.4. Each set of four samples
had a different amount of resin. Figure 5.12 shows the damping ratio for each set
at the same time. The results indicate that the amount of resin is the main key
control in relation to the damping ratio of PC.
161
0.033
0.037
0.042
0.0230.025 0.026
0.0120.014
0.016
0.011 0.012 0.0114
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
Dam
ping
ratio
Sets of PC samples
20% resin17% resin15% resin13% resin
Figure 5.12 Effect of the amount of resin polymer concrete on the structural damping system.
The results indicate that approximately 40% of the reduction in the structural
damping ratio is due to the PC resin volume reduction of 4% (17-13%). These
results do not represent the material damping ratio of PC as a material property,
but provide an indication of the effect of the amount of resin in a PC composite on
the structural damping ratio of the experimental system. This result is consistent
with other research that used epoxy as a resin binder in a composite material (Bai
et al., 2009).
5.6 Results validation
To have a realistic understanding of the effects of filler compositions and resin
volume fraction on the base, CAE software ANSYS 13 was adopted. The software
was also used to reveal the effects of optimized properties on the functional
performance of the PC base in relation to the precision tool machine accuracy level
162
within the boundary of a thermal load obtained from an industrial environment.
Figure 5.13 shows the CAD model of a CNC grinding tool machine. The CAD
model was used including the frame, the main part of headstock and the main
servomotor. The mass point feature in ANSYS 13.0 was utilized to avoid any
complications that might arise during the analysis due to assembly complexity. It
was also used to show the effect of all machine components on the base without
considering assembly issues.
Figure 5.13 CAD model of a CNC grinding tool machine and the base, in transparent mode, demonstrating insert supports using yellow arrows.
The mass point feature allows the effect of heavy components on the precision tool
machine base, without having a complex assembly in the CAD model during the
simulation. Figure 5.14 shows centroid determinations for each assembly group
individually.
163
Figure 5.14 Centroid determinations for each individual group of components (tagged by red).
A centroid of each sub-assembly, linked to the contact area of the base using the
mass point feature at two mass points (A-600 kg and B-300 kg), is shown in Figure
5.15.
Figure 5.15 The main mass point to be included in the simulation.
164
Figure 5.16 shows the outlet coolant, inlet coolant and environment temperatures
during the time of operation for the base of a CNC grinding tool machine. The
method of measuring temperature was the same as that used in monitoring the
temperature profile for the resin, which is described in Section 3.4.2.2. The framed
area in Figure 5.16 was selected as the boundary condition at the peak point for
the environmental temperature (24.8 °C) and outlet coolant temperature (22.3 °C),
to be taken from the frame and applied as a boundary condition in the simulation.
Figure 5.16 Outlet, inlet and environment temperatures versus time under operational conditions for a CNC grinder tool machine.
The environmental temperature was 24.8 °C when applied to the outside of the
base and the coolant outlet temperature was 21.5 °C and applied on the inside of
the base where the water splashed on the base after cooling the tool in the
grinding operational conditions. Figure 5.17 shows the temperatures and the areas
that were applied.
165
Figure 5.17 Temperatures and the areas where they were applied on the base.
The temperature distribution on the base was obtained using steady-state thermal
analysis in ANSYS 13.0 CAE software, as shown in Figure 5.18.
Figure 5.18 Temperature distribution on the base of the CNC grinder tool machine.
166
Constraints were applied to the stands where the machine was fixed to the
ground. Material was assigned according to the material properties. Structural
analyses under thermal conditions were run using ANSYS 13.0, and Figure 5.19(a)
illustrates the directional structural deformation (Z-direction) of the base for the
first composition (basalt, spodumene, fly ash). The thermal conductivity, which
could not be measured, was obtained from the literature 2.8 (w/mk) (Demirboga
and Gul, 2003). It was expected to be very close to the PC material. The modules of
elasticity obtained from the compression test were 14.6 GPa, the compression test
being in accord with AS12002.9-1986, as described in section 3.5.2. The most
effective part of the base is the rails that hold the moving components and are an
essential part of the guiding system of the CNC grinder tool machine in the
operational environment. Maximum deformation was 25 μm on the wall base,
concentrated on an ineffective component (in terms of precision performance),
which is a small portion of the base located on the walls (approximately 2% of the
base). The variation in deformation of the rails on one side was approximately 2
μm. The variation in deformation between the two sides of the rails was
approximately 0.1 – 0.5 μm. The last composition in ranking: river gravel, sand
and chalk, had almost double the thermal expansion compared to the first
composition, as shown in Table 5.8. Figure 5.19(b) exhibits the directional
deformation on the base containing the last composition. Maximum deformation
is 45.5 μm and 75 % of the upper half of the base has been deformed nearest to the
maximum. Variations in deformation on the rails are 3 – 5 μm. Variations in
deformation between the two sides of the rails are approximately 1 – 3 μm.
167
Figure 5.19 Structural deformations under thermal conditions (a) first composition (basalt, spodumene, and fly ash), (b) last composition (gravel, sand, chalk).
Figure 5.20(a) shows that the directional structural deformation of the base for the
second composition (basalt, sand, fly ash, resin volume fraction is 17%), and the
maximum deformation in Z direction is 30.2 μm. Rail variations on one side are 1.5
– 2 μm. Variations in deformation between two sides of the rails are 0.2 – 0.34 μm.
Figure 5.20 Structural deformations under thermal condition (a) PC resin amount 17% (b) PC resin amount 13%.
168
Figure 5.20(b) exhibits the directional structural deformation of the base for the
composition (basalt, sand and fly ash) with a 4% reduction in resin volume
fraction. The maximum deformation in Z direction for the base is 18 μm. Rail
variations are 0.13 – 0.34 μm. Variations in deformation between the two sides of
the rails are 0.011 – 0.06 μm. These variations are the smallest, and hence can be
ignored, since they are less than 1 μm for both one side and two sides of rails
variations in deformation. Table 5.9 illustrates all measurements in one domain for
a clear comparison.
Table 5.9 Effect of PC composition, resin volume fraction on precision of the base
5.7 Conclusions
The utilization of aggregate morphology, and the thermal and mechanical
properties of particles, resulted in an optimum PC being obtained for the base of a
precision machine. In conclusion:
Compositions Resin volume fraction
(%)
Maximum deflection
(μm)
Variation in deformations on the rails in one
side (μm)
Variation in deformations between two sides of rails
(μm)
Basalt, spodumene, fly
ash
17 25 2 0.1-0.5
Gravel, sand, chalk 17 45.5 3-5 1-3
Basalt, sand, fly ash 17 30.2 1.5-2 0.2-0.34
Basalt, sand, fly ash 13 14.6 0.31-0.13 0.11-0.06
169
§ The optimum composition is basalt, sand and fly ash (87% filler and 13%
resin), which has the lowest CTE and acceptable flexural strength.
§ A reduction in resin diminishes the negative effect of sand in relation to the
final CTE and the resulting flexural strength is acceptable for the
application.
§ A reduction in resin by 4% from 17% down to 13% reduces the damping
ratio by a 40% reduction of the structural damping ratio of PC.
§ When any aggregate of the optimum composition is replaced with another
aggregate (gravel, sand and chalk), it results in the PC composition
suffering a further reduction in flexural strength with an increase in CTE.
The main reason for this was that the morphological and thermal
properties of particles affect the interfacial adhesion bonding behaviour in
the PC composite system.
§ The optimum composition is extremely cost-effective compared to the first
composition. Sand is 90% less expensive than spodumene and a 4% resin
reduction reduces the cost of the composite by more than 4%. Resin is the
most expensive component in a PC composite system.
§ Based on simulation studies, the optimum composition reduce the
variations in deformation of rail bases to a sufficiently low level for them to
be ignored. This enhancement of the operational conditions for precision
tool machinery improves the level of precision and achieves more precise
products.
Comparing the damping ration of optimized PC with cast iron which is 0.418
%(Orak, 2000) it was found that the optimized PC higher than cast iron by 6 times
approximately.
170
Table 5.10show a comparison of the optimized PC with the published data of PC-
epoxy based and PC-UPE the properties of PC -epoxy is higher than the PC-UPE
but the PC-epoxy is quite expansive compared to PC-UPE. In addition the
property of optimized PC is better than PC –UPE published data.
Table 5.10 comparison of the published data for PC-epoxy based and PC-UPE based
with the optimized PC.
Property The
optimized PC
PC-Epoxy from
published literature
References PC-UPE from
published literature
References
Damping ratio,%
2.4 4.36–5.34 (Li et al.,
1996) 2.21
(Cortés and
Castillo, 2007)
Flexural strength ,
MPa
22.41 50 (Czarnecki,
1993) 15 (Czarnecki, 1993)
Property The
optimized PC
PC-Epoxy from
published literature
References PC-UPE from
published literature
References
Damping ratio,%
2.4 4.36–5.34 (Li et al.,
1996) 2.21
(Cortés and
Castillo, 2007)
Flexural strength ,
MPa
22.41 50 (Czarnecki,
1993) 15 (Czarnecki, 1993)
171
Chapter 6
6 Optimization of moulding technology
6.1 Introduction
Aspects of moulding technology have a great effect on the quality and
productivity of the polymer concrete used to manufacture the base of precision
tool machine. In this chapter, the results and the analysis are both presented of an
experimental investigation on the effects of moulding technology on mechanical
strength and maturity of polymer concrete. Those aspects are as follows:
§ Effect of voids population on compressive strength of polymer concrete.
172
§ Influence of DMA amount and moulding temperature on maturity, mixing
process and the strength of matrix domain.
§ Mixing technology and its influence on mechanical properties of PC.
Enhancing certain aspects of moulding technology could lead to an elevation of
the mechanical strength of PC that may assist in producing PC with a high level of
compliance with the optimisation criteria for PC used in manufacturing bases for
precision tool machinery.
6.2 The effect of the number of voids on the compressive strength
of polymer concrete
Voids can affect the mechanical properties of PC and a high number of them is not
desirable. Reducing the voids population can enhance the mechanical properties
of the concrete (Knab et al., 1983) as the microstructure and location of voids have
a negative effect on mechanical strength. They can also influence the cracks that
emanate and propagate, resulting in failure of the composite material (Zhu et al.,
2011). In order to reduce the number of voids, a vibration table was used to induce
a high level of compaction for PC. There is a range of frequencies available on a
vibration table that used for achieving high level of aggregates compaction in PC.
Each frequency induces a specific level of compaction on a PC sample which has a
direct influence on mechanical properties. To find the optimum frequency, PC
samples were prepared using various frequencies during the compaction stage
and were tested for compressive strength. The PC sample with the highest
compressive strength is the one with the lowest voids population and the
optimum compaction.
173
Three accelerometers were mounted on the vibration table to capture the
frequency and the amplitude in three directions of X, Y and Z. Frequency was
measured in the same way as measuring the structural damping ratio described in
section 3.6.4. The only difference is that the calculation of the damping ratio is not
required. Frequency and amplitude are the main aims of this experiment. Figure
6.1 illustrates the experiment set up to measure frequency and amplitude of the
vibration table.
Figure 6.1 Experimental setup for measuring the frequency and the amplitude of a vibrating table.
174
The frequency controller of a vibration table starts at 0 Hz and finishes with 50 Hz.
The measuring of the frequency and amplitudes starts at 0 and goes up to 32 Hz.
When 32 Hz is reached, the accelerometer magnetic attachment will not remain
attached to the vibration table and falls down. Table 6.1 shows the result
measurement of frequency and the amplitude of the vibrating table. The results of
the measurements indicated that real frequencies are very close to the set values
indicated by the vibrating table. The direction of oscillation does not seem to have
an effect on the value of frequencies, as shown in Figure 6.2.
Table 6.1 The frequency and amplitude of the vibrating table.
Vibrating table
control reading
Frequency in X
direction, Hz
Amplitude in X
direction, mm
Frequency in Y
direction, Hz
Amplitude in Y
direction, mm
Frequency in Z
direction, Hz
Amplitude in Z
direction, mm
10 10 0.256 10 0.11 10 0.02
12 12 0.45 12 0.263 12 0.047
14 14 0.66 14 0.672 14 0.08
16 15.875 0.188 15.88 1.767 15.875 0.147
18 17.062 1.21 17.06 7.5 17.062 1.067
20 18.9375 2.7169 18.94 9.8 18.9375 2.162
22 21.375 3.097 21.38 8.888 21.375 2.5
24 23.5 2.24 23.5 8.9 23.5 2.814
26 25.56 1.66 25.56 8.5 25.56 3.66
28 27.5 2.7 27.5 8.71 27.5 5.4637
30 29.312 1.0189 29.31 8.06 29.312 5.8
32 30.375 0.766 30.38 7.499 30.375 13.853
175
As the frequency increases, the amplitude increases, particularly in Z direction for
frequencies more than 30 Hz, as shown in Figure 6.2.
0
2
4
6
8
10
12
10 15 20 25 30 35
Ampl
itude
(mm
)
Frequancy (Hz)
Frequancy in X direction
Frequancy in Y direction
Frequancy in Z direction
Figure 6.2 Relation between the amplitude and set frequency for the vibration table.
Different frequencies were applied during the packing operation of the PC
samples using the vibration table. The mould containing the PC sample was fixed
on to the vibration table and vibration applied to the PC sample as shown in
Figure 6.3. When the liquid resin reached the surface of the PC sample in the
cylindrical mould and the bubbles stopped coming out of the surface resin, the
vibration table was stopped.
176
Figure 6.3 The mould contains the PC sample mounted on vibration table, the frequency applied.
The PC sample was then left for 28 days to cure at the ambient temperature. Upon
completion of curing, the compressive strength was tested for each PC sample
according to Australian standard AS 1002.9 – 1986 “Method of testing concrete:
Part 9, Method for determination of the compressive strength of a concrete
specimen”. The method of testing is described in 3.6.2. The optimum frequency for
vibration and for producing a PC sample with the highest compressive strength
was found to be 18.9375 Hz (20 Hz by the vibration table switch controller), which
resulted in 109 MPa compressive strength for basalt, sand and chalk composition,
as shown in Table 6.2.
177
Table 6.2 Vibrating time and compressive strength of PC samples
Set frequencies on vibration table controller, Hz
Vibration time (min)
Frequency
Measured, X direction (Hz)
Compressive strength
(MPa)
16 10 15.875 98
18 12 17.062 93.5
20 16 18.9375 109
22 15 21.375 106
24 22 23.5 97
26 20 25.56 81
6.3 Identification of maximum moulding duration as a function
of moulding temperature and DMA content in resin binder
Moulding time is the time required to mix PC with aggregates, then pour the PC
mixture into the mould and vibrate the mould using a vibration table until the
vibration process finished. The Dimethyl aniline DMA (promoter) amounts,
MEKP initiator, monomer reactivity ratio and moulding temperature are the key
controls of resin rheological behaviour from the commencement of mixing
aggregates with the resin to the end of the final operation in vibrating the mould
(Ganglani et al., 2002, Yang and Suspene, 1991). In addition the DMA (promoter)
amount affects the mechanical and rheological properties of the resin (Ganglani et
al., 2002, Yang and Suspene, 1991) and hence has an effect on the PC composite’s
mechanical properties. During the moulding time the resin is required to be in a
liquid state. This enhances the wetting of the aggregate particles, improves the
mixing operation and increases particle settlement to achieve good mixing and
compaction. As a result there is a reduction in the number of voids. The overall
178
result is the enhancement of the mechanical properties of PC. To achieve such a
result, it is important to identify the DMA amount required correlate with the
moulding temperature, and the moulding time. Extending the moulding time up
to gel stage could cause some damage such as crack initiation during the
compaction process ,or result in a low level of mixing, both leading to reduced
mechanical properties of PC.
6.3.1 Effect of DMA (promoter) contents on temperature rise during curing
The effect of the DMA content on temperature rise during curing was
investigated. DMA content exerts an influence on the temperature of resins during
their curing. Resins without DMA did not exhibit any recordable rise of
temperature while resins with DMA had temperature increases up to 120 °C for
0.3% of accelerator. The increase of DMA content leads to an increase in the
exothermic maximum resin temperature during the curing and shortens the time
needed for a temperature rise, as shown in Table 6.4. The method of measuring
temperature was described in Section 3.4.2.2.
179
-20
0
20
40
60
80
100
120
140
0 100 200 300 400 500 600
Tem
pera
ture
(°C)
Time (min)
0% DMA
0.1% DMA
0.2% DMA
0.3% DMA
Figure 6.4 Temperature of MMA/ARAPOL resins with different content of DMA.
6.3.2 Effect of DMA contents on viscosity growth during resin
copolymerization
The effect of DMA on the curing rate was investigated by increasing the initial
content of 0.001 in 40% ARAPOL/60% MMA resin composition and adding more
DMA to the mixture. The addition of DMA increases the initial viscosity of the
mixture in the curing process. The amount of DMA was varied from 0.001 to 0.003,
causing an increase of the viscosity growth rate, as shown in Figure 6.5. The
method used to measure viscosity was described in Section 3.4.2.3.
180
0
100
200
300
400
500
600
700
0 20 40 60 80 100 120 140 160
Visc
osity
(cP)
Time (min)
DMA 0%
DMA 0.1%
DMA 0.2%
DMA 0.3%
Figure 6.5 Viscosity of resins versus their curing time for a variety of DMA content.
Varying the DMA content is another measure that is used to demonstrate the
effect of DMA content on the time required for the resin to reach the maximum
viscosity as shown in Figure 6.5. An increase in the DMA content and the
moulding temperature decrease the time required for the resin maximum viscosity
to be reached, as shown in Figure 6.6.
181
0
50
100
150
200
250
300
350
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35
Tim
e whe
n th
e max
imum
visc
osity
(6
40cP
) rea
ched
(min
)
DMA content (%)
Temperature 25°C
Temperature 20°C
Temperature 15°C
Temperature 10°C
Figure 6.6 Time to the maximum temperature of 40% ARAPOL/60% MMA resins with different contents of DMA for various moulding temperatures.
The time required for the resin to reach maximum viscosity is essential knowledge
when manufacturing bases for precision tool machinery. The reason is both the PC
mixing and the moulding tasks should be accomplished prior to maximum
viscosity being reached by the resin binder (640 cP), which is on the verge of the
gel point. A drastic increase in viscosity hinders mixing, resulting in PC material
not to be mixed and moulded efficiently. The effect of both temperature and DMA
amount will be combined in a convergence on the PC base’s mechanical properties
and curing behaviour. The relation between time of viscosity build-up t (min),
temperature T (°C) and DMA content C (%) can be described in the following
empirical equation:
182
)1.6...(..............................069.01.542.6 TCnt −−=l
Using the above equation, the DMA amount was calculated which is compatible
with the known moulding temperature, as illustrated in Table 6.3.
Table 6.3 Recommended DMA content for different moulding temperatures.
T(°C) 8 9 10 11 12 13 14 15 16 17 18
DMA (%) 0.3 0.29 0.27 0.26 0.25 0.23 0.22 0.21 0.19 0.18 0.17
T(°C) 20 21 22 23 24 25 26 27 28 29 30
DMA (%) 0.14 0.13 0.11 0.10 0.09 0.07 0.06 0.04 0.03 0.02 0.0
By using Figure 6.6, the recommended DMA content for the various moulding
temperatures in Table 3.3 can be validated. For example, the recommended DMA
for 10 °C moulding temperature is 0.27 %. In Figure 6.6 the time required to reach
the maximum measurable viscosity (640 cP) is 73 minutes at 10 °C and 0.3 %
DMA. When DMA is reduced, the time for reaching the maximum viscosity
increases at a particular temperature. This indicates that the time for reaching the
maximum viscosity is greater than 73 minutes when the DMA amount is less than
0.3% at 10°C, the time considered when the DAM amount calculated for Table 6.3
is 75 minutes approximately. The required time for moulding is 40-50 minutes,
depending on the size of the PC base and the complexity of the design. The
recommended DAM correlated with temperature in Table 6.3 provides 15-35%
extra time to the required time as an extra precaution to guarantee that the
moulding operation takes place when the resin is at the low viscosity level. This is
to avoid reaching the verge of gel time, especially during compaction stage that
183
may initiate undesirable micro-cracks in the polymeric matrix that can propagate
during the solidification of the base, since UPE resin has high shrinkage compared
to epoxy.
6.3.3 Effect of DMA content on curing behaviour of resin binder
The effect of DMA on curing behaviour was investigated using Differential
Scanning Calorimetry (DSC) and the Borchardt and Daniels equation (Borchardt
and Daniels, 1957). Their kinetic approach facilitates the evaluation of activation
energy (Ea), the pre-exponential factor (Z), heat reaction (ΔH), reaction order (n)
and rate constant (K) from a single scanning. The results of the DSC tests
demonstrate the difference between samples with and without DMA, as shown in
Figure 6.7. Thus, the presence of DMA could shift the peak of the DSC curves to
higher temperatures resulting in a stronger exothermal reaction, as the area under
the DSC curve is bigger in the case of the sample with 0.3% DMA. The presence of
DMA, as expected, changes the parameters of the Borchardt and Daniels model.
However, the variation is not too high as can be seen in Table 6.6. The method of
conducting the DSC analysis was described in section 3.4.2.4.
184
Table 6.4 Parameters of Borchardt and Daniels model for 40%ARAPOL /60%MMA resins with different contents of DMA.
DMA content,%
Reaction order, n
Activation energy, kJ/mol
Log Z, log(1/min)
Heat of Reaction
0 2. 95 204 30.4 84
0.1 2.84 203 30.1 98
0.2 2.74 193 28.9 100
0.3 2.65 195 29.5 101
Figure 6.7 DSC curves of 40%. ARAPOL/60%MMA resins without DMA (solid curve) and with 0.3% of DMA (broken curve).
The heat of reaction is increased as DMA (promoter) amount is increased as
shown in Table 6.4. This result supported the outcome of the exothermal
185
temperature profile as shown in Figure 6.4, the peak exothermic temperature
increase as DMA amount is increased.
6.3.4 Effect of DMA contents on resin binder mechanical properties
The effect of DMA on the resin’s mechanical properties was investigated using
flexural strength, tensile strength and elongation. The method of measuring
flexural strength and tensile strength testing was described in Sections 3.4.1 and
3.4.1.2. Tensile strength, flexural strength and elongation all decreased with an
increase in DMA content, as illustrated in Table 6.5. Thus the strength of resins
with 0.3% DMA is 25% lower than resins without DMA. Elongation is also
reduced by 18% and these results are in partial agreement with those of Ganglani
et al. (Ganglani et al., 2002). This is attributed to the formation of micro-cracks,
possibly caused by the excessive exothermal reaction in the presence of the
accelerator as the exothermic reaction peak temperature increased as DMA
amounts increase as shown in Figure 6.4. This caused non-uniform temperature
distribution across the resin sample and initiated non-uniform shrinkage when the
resin solidified. It should be noted that this effect may be much greater with larger
volumes of resin, because of the scale factor. Taking into account the very low
fraction of resin (the micro-layer thickness between aggregates) in PC composite
material and the substantial heat exchange between the matrix and the fillers, the
detrimental effect of DMA on mechanical properties ought to be much lower.
186
Table 6.5 Mechanical properties of resins with different volume fractions of DMA.
DMA content, %. 0 0.1 0.2 0.3
Modulus of elasticity (MPa) 705 759 798 675
Tensile strength (MPa) 60.2 58.6 51.9 43.6
Elongation (%) 10.1 9.3 8.1 8.3
Flexural strength (MPa) 130 128.2 119.3 109.5
6.4 Optimization of mixing technology of PC
The main purpose of concrete mixing is to achieve a uniform mixing of all
materials (ACI, 1972). Mixing technology is an important parameter for a PC with
low binder content. Poorly mixed PC not only fails to meet the requirements for
workability but also affects the PC’s mechanical properties. Three mixing
technologies were investigated for a specific aggregate composition (basalt, sand,
flay ash).
The first mixing technology (MT1) started by mixing the fine aggregate with 75%
of the resin, followed by the medium-sized aggregate and then, finally, the coarse
aggregate was added to the main mixture with the rest of the resin. The second
mixing technology (MT2) began by mixing 20% of the resin with coarse aggregate.
The micro-filler was separately mixed with 30% of resin and then added to the
coarse aggregate resin mixture. The rest of the resin was separately mixed with the
medium-sized aggregate and then mixed with the main mixture. In the third
mixing technology (MT3), all aggregates were premixed and then mixed with the
187
resin. A traditional concrete mixer was used to mix the PC for all the mixing
technologies. A time of 15 minutes was used for all three mixing technologies.
Samples to measure flexural strength were prepared for each mixing technology.
A four-point flexural strength test was conducted according to the Australian
standard AS 1012.11-2000 method of testing concrete. The method used to test
flexural strength was described in Section 3.6.3. Table 6.6 shows the flexural
strength for all mixing methods. MT1 proved to be the most effective for basalt,
sand and fly ash, and flexural strength reached the maximum of 22.6 MPa.
Table 6.6 Effect of mixing technology on flexural strength of PC.
Mixing technology Composition Flextural Strength (MPa)
MT1 Basalt ,sand , fly ash 22.53
MT2 Basalt ,sand , fly ash 19.23
MT3 Basalt ,sand , fly ash 20.32
188
6.5 Conclusions
This chapter has examined aspects of moulding technology. Each has a different
effect and influences the mechanical properties and curing behaviour of PC by
various means. The optimum frequency when operating the vibration table to
prepare a PC sample is identified as 18.9375 Hz. With this frequency, the PC
samples produced the highest compressive strength. An empirical relationship
connecting the moulding temperature and the DMA content was obtained using
rheological analysis of the resin with various amount of DMA. A table showing
moulding temperatures in the range of 8-30°C with DMA amounts in the range of
0-0.3% was constructed. It was found that increasing the DMA fraction in the resin
binder has a slightly negative impact on the mechanical properties and increases
the curing rate as well as the exothermic temperature profile. Various mixing
technologies were investigated in order to obtain one that produces the PC with
the highest flexural strength. It was found that MT1 produces a PC sample with
22.53 MPa, which is the maximum flexural strength.
189
Chapter 7
7 Influence of moisture on the thermal and
mechanical properties and curing behaviour of
a polymeric matrix and PC composite system
7.1 Introduction
Moisture is mainly free water found in voids and capillary pores in the filler
aggregate (Lamond and Pielert, 2006). Water also can be found as ingress moisture
in the carbon fibres used in PCs containing fibre-reinforced polymer (Tuakta and
Buyukozturk, 2011). All forms of moisture are dependent on the humidity level of
the local conditions and the micro-climate of the material. This subject is covered
in the research literature with the primary focus on (i) the moisture sorption of the
resin binder after the curing is completed and the PC composite is implemented in
a specific application, for example in underwater constructions (Y.Ohama, 1997)
and (ii) the pre-existing water in aggregates, where 3% of pre-existing water in
aggregates has been found to reduce the compressive strength of PC by a half
(Fontana and Reams, 1985). It was also reported that PC consisting of unsaturated
polyester, styrene and acid monomers, such as maleic anhydride, are successfully
190
polymerized in the presence of 5% water with improved mechanical properties
compared to the same PC without maleic anhydride containing the same level of
moisture (Ignacio et al., 2008).
Ignacio et al. (2008) state that water molecules trapped inside ionic cages interfere
less with the overall curing process for UPR (Ignacio et al., 2008). The remain of
other effects of pre-existing water in aggregates on PC’s mechanical and thermal
properties and curing behaviour for both PC and resin binder that have not
received adequate attention to date. In this chapter the influence of moisture on
the thermal and mechanical properties, and the curing behaviour of a polymeric
matrix and PC composite system are investigated.
7.2 Sample preparation
Sample preparation for the resin domain and the PC composite is reported in the
following sections.
7.2.1 Resin domain
The resin investigated was made from commercial general purpose, unsaturated
polyester (AROPOL) (67% unsaturated polyester dissolved in 33% styrene) and
obtained from Huntsman Chemical Company (Australia). Methyl methacrylate
(MMA) was obtained from Degussa (Australia), cobalt octoate and dimethyl
aniline (DMA) from Alfa Aesar (USA), and methyl ethyl kenton peroxide (MEKP),
commercially known as NR20, from Nuplex Industries (Australia). A resin sample
was produced by mixing 3:2 (v/v) UPE/MMA. 0.8% cobalt octoate (promoter),
0.2% DMA (accelerator) and 2% (v/v) MEKP (initiator) were then added to this
191
mixture, in this sequence by hand for 1-2 minutes. 1% - 5% (v/v) of water was
then added to the mixture to investigate the effect of the moisture content on the
curing process and the final polymeric matrix properties.
7.2.2 Polymer concrete composite
The basalt and sand used as filler aggregates were from Roca, and the fly ash was
supplied by Cement Independent Australia. The PC mixture contained fine
aggregate 8.3%, coarse aggregate 49.8% and medium-sized aggregate 24.9% (v/v).
Aggregates were heated using a vacuum chamber to produce zero moisture
aggregates. When the zero moisture aggregates were produced, a moisture check
was conducted using moisture analyzer MD 150 from Starous, Germany, thus
ensuring that the level of moisture was zero. 1% - 5% (v/v) of water was then
sprayed on to each aggregate individually. Each aggregate was left for 30 minutes
with the mixer on to evenly distribute the water. Samples of aggregates were
checked for moisture levels using the same moisture analyzer. When the mixing of
water and aggregates was accomplished, 17% (v/v) of resin was mixed with the
aggregates. The mixing was continued for 20 minutes to ensure the best mixing of
all particles with the resin, and in order to maximize the resin interface with the
pebbles. The mixture of resin-aggregate was poured into a rectangular mould
assembly (100 × 100 × 300 mm), which had been coated with a release agent
consisting of a gel coat and PVA to prevent adhesion to the steel mould. The PC
sample was cured for 28 days at ambient temperature. The flexural strength of the
PC samples was measured using a Snitech 60/D universal testing machine
according to Australian standard AS 1012.1, and the testing method is described in
Section 3.6.3. A German ALPHA 3, with two columns, was used to measure the
compression strength of the PC according to Australian standard
AS1012.19.2.2000, and the method of testing is described in Section 3.6.2. The PC
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samples for compression were prepared following the same procedure as was
used for the flexural strength test. The mould used for the compression strength
PC sample was cylindrical, 100 mm in diameter and 300 mm in length. A sample
with the same measurements as those used for flexural strength testing was used
for measuring the CTE of the PC composite system, using the method described in
Section 3.6.5.
7.3 Results and discussion
A series of experiments was conducted to investigate the water–resin interaction
in the polymeric matrix domain and in a PC composite system. The thermal and
mechanical properties and the curing behaviour of UPE were computed and
analysed. The thermal and mechanical properties of the PC composite systems
were measured and explained. The moisture of the aggregates used for PC was
measured and then the solubility of the water in the components of the resins
studied was examined. MMA water solubility was 1.2%, as shown in Table 7.1. If
more than 1.2% water was added and mixed with MMA, the water appeared to be
undissolved in the MMA. When mixing stopped, the water droplets stayed at the
bottom of the beaker. ARAPOL (UPE dissolved with 33% styrene) was immiscible,
as water was emulsified when it was added and mixed with the resin. This
indicates that up to 60% of added water (1.2% MMA water solubility) will be
dissolved in the MMA when the percentage of water is 1%. The rest of the water
will mainly evaporate during the copolymerization process due to the heat
generated by the exothermic reaction. When 1% of water was added to the resin
composition, the share of MMA (1.2 ×60%) is 0.72 and the share of Dimethyl
aniline (DMA)(0.2%×80%) is 0.03. According to Table 7.1, those components are
the only soluble ones. The total ratio of soluble water is 0.75% in the resin. In
193
another words, the resin will reach saturation when the water added is 0.75% of
the resin volume.
Table 7.1 Water solubility for polymeric matrix contents.
Component Volume fraction in polymeric matrix
water Solubility
Arapol UPE ( dissolved in 33%
styrene)
40% Immiscible
Styrene Immiscible
Methyl methacrylate (MMA) 60% 1.2%
Dimethyl aniline (DMA) 0.2 % (80%) Highly soluble
Cobalt octoate 0.8% Immiscible
Methyl ethel kenton (MEKP) 2% 1%
7.3.1 Measuring the level of moisture in aggregate
The moisture test for the aggregate mixture, using a moisture analyser MD 150,
indicated that there was a variation in the level of moisture, depending on the
climate, and specifically on the local humidity. Figure 7.1 shows the level of
moisture in the aggregate during the days of the week.
194
1.6
0.94
1.24
0.83
1.051.1
1.8
0
1
2
0 1 2 3 4 5 6 7 8
Moi
stur
e co
nten
ts (%
)
Days of the week (day)
Figure 7.1 Moisture during the days of the week in aggregate used in polymer concrete.
7.3.2 Curing behaviour of the polymeric matrix
The effect of water on the resin curing process is assessed by DSC measurements.
The Borchardt and Daniels model was used to analyse the results and calculate the
reaction activation energy (Ea), pre-exponential or Arrhenius frequency factor (Z),
heat reaction (ΔH), reaction order (n) and rate constant (K) from a single scanning
for the various water contents (Borchardt and Daniels, 1957). Their approach states
that the curing reaction follows nth order kinetics and obeys the following
equation:
195
)1.7...(......................................................................]1)[( naTKdtda
−=
where dtda is the reaction rate, a is the fractional (reaction progress %), )(TK is the
specific rate constant at temperature and n is the reaction order. Borchardt and
Daniels assume Arrhenius behaviour:
)2.7........(............................................................)( /RTEaZeTK −=
where (Z) is the Arrehenius frequency factor (1/sec), (Ea) is the activation energy
(J/mol) and R is the gas constant 8.314 (J/mol °K). The DSC was conducted to
examine the effect of moisture on the polymeric matrix. The method is described
in Section 3.4.6. Utilizing a software feature supplied by TA Instruments (TA
Speciality Library), resulted in the parameters of the Borchardt and Daniels model
in Equations 7.1 and 7.2 being obtained, as shown in Figure 7.2.
196
Figure 7.2 DSC data processing using the TA Specialty library: inset time of 70% conversion at 60 °C versus water content.
The time of 70% conversion at 60 ℃ was estimated for various moisture contents,
and Figure 7.3 show that an increase in water content generates an elevation in
conversion time (time of reaction). An increase in water content leads to elevated
activation energy and a reduction in the heat of the reaction as the moisture
content rises. This illustrates the retardation effect of moisture during the curing,
as shown in Table 7.2.
197
0
10
20
30
40
50
60
70
80
0 1 2 3 4 5 6
Tim
e of
con
vers
ion
(Min
)
Water (%)
Figure 7.3 Time of 70% conversion at 60 ℃ versus water content.
When water is added, a small portion of the water dissolves in the monomer
(MMA), producing a mixture that is more stable and needs higher activation
energy to initiate the chemical reaction. As a result, the heat of the reaction is
reduced (see Table 7.2).
198
Table 7.2 Parameters of Borchardt and Daniels model for different resin moisture contents.
Moisture content %
Reaction order, n
Activation energy
[kJ/mol]
Log Z, log(1/min)
Heat of Reaction, [kJ/mol]
0 2.59 204 30.4 88.4
1 3.11 210 31.1 84.0
3 3.20 245 36.0 78.8
5 3.70 287 42.9 64.1
An increase in viscosity in the course of curing as the amount of moisture
increased was supported by the DSC outcomes. Figure 7.4 shows that an increase
in water content delays the increase in viscosity and increases the gel time. An
increase in moisture content slows down the cross-linking process
(copolymerization). Figure 7.4 inset shows that a greater time is needed to reach
the gel stage as the moisture increase. A possible explanation for this outcome is
that the energy generated by the exothermal reaction during the curing is
consumed by the evaporation of water droplets, leaving less energy for the
process of copolymerization. As a result, a lower curing rate is observed as the
moisture content increases. The method of measuring viscosity was described in
Section 3.4.2.1 and the method of measuring gel time was described in Section
3.4.2.3.
199
0
100
200
300
400
500
600
700
0 50 100 150 200 250
Visc
osity
(cP)
Curing time (min)
Water 0% Water 1%Water 3%Water 5%
50
90
130
170
210
250
0 2 4 6
Gel
Tim
e (m
in)
Water (%)
Figure 7.4 Viscosity increase for UPE containing various amounts of water: inset gel time versus water percentage in UPE.
7.3.3 Interaction of polymeric matrix with water
FTIR spectroscopy demonstrated the interaction between water and UPE
functional groups. Figure7.5(A) illustrates a peak between 3240 – 3270 cm-1. The
C=O stretching is observed as a peak at 1717 cm-1 in unsaturated polyester resin
(UPE) prepared with no initial water. The peak develops a shoulder at 1736 cm-1
with increasing water content. This is due to the formation of a different C=O
bond strength between the water and carbonyl group in UPE, as illustrated in
Figure7.5(B). Hydrogen bonding can form between water and the oxygen in C-O
in both ether and ester functional groups. This increases the peak width and
intensity at 1142 and 1460 cm-1, as shown in Figure7.5(C). This chemical interaction
of water and UPE may be another factor in the weakening of the mechanical
properties. The method of conducting FTIR spectroscopy was described in Section
3.4.2.7.
200
90
91
92
93
94
95
96
97
98
99
100
260031003600
T%
υ (cm-1)
0%v water
1%v
2%v
4%v
5%v
60
65
70
75
80
85
90
95
100
1650170017501800υ (cm-1)
60
65
70
75
80
85
90
95
100
850105012501450υ (cm-1)
(A) (C)(B)
Figure7.5 FTIR spectra of polymeric matrix prepared with 0, 1, 2, 4 and 5%v initial water, (A) O-H and C-H stretching peaks, (B) C=O stretching peak and (C) the range including C-O and C-H bending.
7.3.4 Thermal Gravimetric Analysis (TGA)
TGA analysis of the polymeric matrixes containing various amounts of water was
conducted, using the method of testing described in Section 3.4.2.6. Figure 7.6
shows a peak below 250°C, a peak around 385 °C and two shoulders around 410
and 450°C. The initial weight loss can be assigned to the residual bound water
from the resin. This process shows a peak in the derivative of weight loss (dw/dT)
form of the data as shown in Figure 7.6. This peak shows a shift from 226 °C for
the sample containing 1% initial moisture to 203, 181 and 168 °C for the 2, 3 and
5% initial moisture levels (Figure 7.6 inset). This shift may be due to two reasons:
(i) the rate of weight loss depends on the mass transfer during the heating process,
and this mass transfer depends on the water molecule diffusion through the pores
in the resin. Higher initial moisture leaves a higher pore volume ratio and
therefore causes the shift of the weight loss peak of the bound water to lower
201
temperatures. (ii) When a higher initial moisture level exists in the resin mixture,
the water molecules have higher probability to participate in the curing process
which is evidenced in the overlap of peaks at 385 and 450 °C in the resin
decomposition region. Water may hydrolyse ester groups in UPE, especially at the
high temperatures of the curing process, or terminate an active radical causing a
less cross-linked network. The temperature of bound water evaporation exhibits
the strength of interaction between water molecules and functional groups in the
polymer network. Most water at lower ratio is completely soluble in the starting
composition mixture, causing the imprinting of water molecules in the network.
Figure 7.6 TGA of polymeric matrix containing various amounts of water. The inset show an expended region of water evaporation weight loss (the graphs are scaled up by 1% for clarity).
202
Table 7.3 Peak temperatures for resins containing various amounts of water
Temperature Moisture
226°C 1%
203°C 2%
181°C 3%
168°C 5%
7.3.5 Resin domain mechanical properties
The effect of water content on the mechanical properties of the UPE resin was also
examined. All methods used for the mechanical testing of the polymeric matrix
were described in Section 3.4.1. The modulus of elasticity, Shore D hardness,
flexural strength and tensile strength all deteriorate as water content increase, as
illustrated in Figure 7.7.
203
Figure 7.8 Mechanical properties of UP/S/MMA polymeric matrix as a function of water percentage; (A) Modulus of elasticity, (B) Tensile strength versus, (C) Flexural strength versus water percentage, (D) Tensile strength.
This may be due to the pores left by water droplets or water vapour bubbles
generated during the exothermic curing process, as seen in the SEM images in
Figure 7.9, where pores act as stress concentration weak points in the resin
structure and result in resin failure during loading tests. This is consistent with the
work of Athijayamai et al (Athijayamani et al., 2009).
204
Figure 7.9 SEM images for flexural fracture resin containing different amounts of moisture; (A) moisture 1%, (B) moisture 3%, (C ) moisture 5%. Scale bar is 10 µm for all images.
In the early stages of the reaction, water is distributed in droplet shapes because it
is mixed with the resin domain. These water droplets prevent the active ends of
the macromolecules forming a cross-linked network and, to some extent, prevent
further copolymerization. The temperature builds up in the resin binder due to the
exothermal reaction of UPE resin. The generated energy during the exothermic
reaction is the main source of the chemical energy used to drive the
polymerization process only when the moisture is 0%. A portion of the main
chemical energy is taken to be used in evaporate the water in the course of curing.
This leads to the formation of pores (voids) that affect the mechanical properties of
the resins and delay curing. The evaporation of the water droplets creates voids
with a spherical shape. Scanning electron microscopy was utilized to examine the
microstructure of the fractured surface of the resins. Figure 7.10 exhibits a flexural
test fracture surface, showing the hemispherical voids contain an active cross-
linked network, ending at the edge of the half sphere. This interface forms a phase
separation with a rough surface on the internal surface of the sphere.
205
Figure 7.10 Half sphere void exhibiting the nature of a void inner surface for polymeric matrix fracture (scale bar is 1 µm).
Figure 7.11 shows the voids formation during the early stages of curing the resin
binder in liquid sate.
Figure 7.11 Voids forming due to water existence at the early stage of curing resin containing 5% moisture.
206
The ratio of void volume to sample volume in resin (abbreviated as VV/SV) was
calculated for each sample, using image-processing technology facilitated by
Image J 1.42q software, and assuming that the polymeric matrix was uniform and
that all voids were cylindrical. The cylindrical geometry goes along the material
volume to accommodate all voids that exist in the material volume. The VV/SV
was approximately three times greater than the actual moisture content in each
sample. This is an indication of the effect of water droplet evaporation when the
resin is at the gel stage. The vapour pressure was sufficient to significantly expand
the volume of voids to double that prior to solidification. This phenomenal
inflation has a deleterious impact on the mechanical strength of the resin domain,
and explains why the mechanical strength drops so dramatically.
7.3.6 Dynamic Mechanical Analyses (DMA)
Measurement of the dynamic properties of the resin domain is essential when
considering its usage as a binder in applications such as in PC in the production of
a base for precision tool machine. Due to its damping properties, DMA testing was
conducted to measure the damping factor (tan δ) and storage modulus. The
method was described in Section 3.4.1.4. Figure 7.12(A) shows that the storage
modulus declined for the resin as the water content increases. This behaviour can
be explained by a dramatic change in morphology and by an increase in micro-
cracks and voids as the water content increases. Figure 7.12(B) shows that the
damping factor (tan δ) increases as the water content increases. The increase in
micro-cracks and voids as the moisture content increases may also explain the
increase in the tan δ (Panteliou and Dimarogonas, 2000). Micro-cracks and
porosity are good dampers due to the inner friction inside a crack, which increases
the damping properties.
207
Figure 7.12 DMA analyses (A) storage modulus of polymeric matrix versus frequency (B) tan δ versus frequency for different water percentage.
7.3.7 Coefficient of thermal expansion (CTE) of polymeric matrix
The other important factor in applying UPE resin as a binder in PC for bases of
high precision machines is its CTE. The CTE was measured for various resins
containing different amounts of water. The method was described in Section
3.4.2.3. Figure 7.13 show that the increase in moisture content caused an increase
in the CTE of the polymeric matrix. An increase in the number of voids results in a
decrease in the resin density and modulus of elasticity as well as other mechanical
properties, as demonstrated earlier. This leads to a reduction in the resistance of
the material to the thermal expansion. Another parameter, the thermal
conductivity of the polymeric matrix, also decreases as a result of the increase in
the number of voids, which are full of air and reduce the heat dissipation inside
the polymeric matrix. All of these occurrences converge to increase the CTE of the
polymeric matrix as the water content increases.
208
75.0
100.0
125.0
0 1 2 3 4 5 6
CTE ×
10-6
(°C-1 )
Water (%)
Figure 7.13 Coefficient of thermal expansion (CTE) of polymeric matrix verses water percentage.
7.4 Mechanical properties of polymer concrete composite
material
Mechanical properties were measured for the PC, including flexure strength and
compressive strength. The flexural strength test was conducted according to the
AS 1012.11-2000 method of testing concrete described in Section 3.6.3. The flexural
strength decreases catastrophically, with a loss of 99% of its initial value as the
water content reaches 5%, as shown in Figure 7.14.
209
22.373820.8775
4.24546
1.776809 0.97689 0.81687 0.67810
5
10
15
20
25
0 1 2 3 4 5 6
Flex
ural
stre
ngth
(MPa
)
Moisture contents (%)
Figure 7.14 Flexural strength of polymer concrete composite system versus the percentage of moisture contents.
The BET surface area analysis was conducted for all aggregates using the method
described in Section 3.3.5. Table 7.4 shows that the BET analysis indicates that
extremely low microspores were detected for the aggregate in this study. Thus the
added water to these aggregates is mainly present on the highly hydrophilic
surface of these filler particles, affecting the strength of the bond with the resin.
210
Table 7.4 BET analysis of all aggregates used in the composition of polymer concrete
A rather large proportion of the moisture in coarse aggregates is located at the
surface of the aggregate. The thin micro-layer of the moisture affects the interfacial
adhesion bonding between the aggregate and the polymeric matrix, as shown in
Figure 7.15. An increase in the moisture content in the polymer concrete composite
system increases the debonding of aggregates with the polymeric matrix and
decreases the polymeric matrix strength when the moisture droplets are
suspended in the middle of the interfacial bonding, as shown in Figure 7.15 those
droplets become voids and delay the curing process of PC. This is the cause of the
reduction in flexural strength, with an increase in the moisture content in the PC
composite system. Figure 7.16 shows a PC sample containing 5% moisture, and
there appear to be many debonding points between aggregate and resin.
Fly Ash Sand Gravel Spodumene Basalt Chalk
BET surface area (m2/g): 1.01990 0.28880 0.12630 0.10640 0.21800 1.60810
Langmuir surface area (m2/g): 1.16590 0.33430 0.14740 0.12380 0.25120 1.84920
Microspore area (m2/g): -0.4023 -0.2320 -0.1134 -0.12710 -0.1481 -0.823
External Surface area (m2/g): 1.42230 0.52090 0.23960 0.23340 0.36610 2.43150
Microspore volume (cm3/g): -0.00014 -0.00009 -0.00004 -0.00005 -0.00006 -0.0003
211
Figure 7.15 Water distributions on a polymeric matrix and the interfacial bonding of matrix – aggregates in a polymer concrete composite system.
Figure 7.16 PC sample containing 5% moisture.
212
Compressive strength was measured according to the AS 1002.9 1986 method
described in Section 3.6.2. The compressive strength decreases as the moisture
increases, as shown in Figure 7.17 as the water percentage reaches 5%, the
compressive strength diminishes by 55% of the initial value when the water
percentage was zero.
50
100
150
200
0.0 1.0 2.0 3.0 4.0 5.0
Cmpr
essiv
e stre
ngth
( MPa
)
Water (%)
Figure 7.17 Compressive strength of polymer concrete composite system verses the percentage of water content.
Based on Figure 7.18 and Figure 7.14, at the point when the moisture is 0.002%
there is a very small decrease in compressive and flexure strength but this is
negligible. It is, therefore, reasonable to suggest that when the moisture content is
0.002% or below, the overall aggregate composition is acceptable.
7.4.1 Coefficient of thermal expansion (CTE) of PC composite system
The CTE was measured in different samples of PC containing a variety of
moisture contents using the method described in Section 3.6.5. The main
213
parameters influencing the CTE of the composite material are the volume fraction
of both the fillers and the matrix. The CTE values for fillers and matrix, as well as
the strength of the interfacial adhesion between the polymeric matrix and filler
aggregate all affect the CTE of PC composite. The moisture can be located on the
surface of the aggregates or emulsified in the polymeric matrix as a result of the
mixing process, as shown in Figure 7.15. During the curing of a PC composite, the
matrix is surrounded by aggregates that have low thermal conductivity
(Demirboga and Gul, 2003), which results in intensifying most of the heat
generated by the resin exothermic reaction contained within the resin domain
itself. This results in the formation of more voids than when the resin domain
interacts with moisture without aggregates. The strength of the PC composite
system decreased due to the presence of the moisture. Decreasing the strength of a
polymer concrete composite system will reduce the material resistance for thermal
expansion caused by the temperature increase. This may explain why the CTE of
the PC composite system increases as the water content increases, as illustrated in
Figure 7.19. Based on Figure 7.1, at the point when the moisture is 0.002% there is
a very small increase in CTE that can be ignored. When the moisture is 0.002% or
below in the overall aggregate composition, since the change in CTE is very low. It
is, therefore, reasonable to say that this is acceptable.
214
10.0
15.0
20.0
25.0
0 2 4 6
CTE
×10-6
(°C-1
)
Water (%)
Figure 7.19 CTE of the PC composite system versus water content
7.5 Conclusions
The curing behaviour of a polymeric matrix is substantially affected by moisture.
Increasing the moisture causes an increase in the curing time and hence reduces
the curing rate. Evaporation of the moisture also consumes the energy intake
generated by the exothermic reaction originally required to cure the polymeric
matrix. This results in a serious delay in the curing of the polymeric matrix. The
thermal and mechanical properties are affected substantially by moisture in both
the polymeric matrix and the PC composite system. The effect of moisture on the
mechanical properties of the resin domain (flexural strength, tensile strength,
modulus of elasticity and hardness) is large, and appears in flying colours in as
shown in Figure 7.8. An increase in moisture decreases the mechanical strength of
the resin domain due to the morphology change caused by the rapid increase in
the void population and micro-cracks. The chemical energy generated by the
215
exothermic reaction and the moisture causes the inflation of voids at the gelation
stage during the curing of the resin domain. This results in a doubling between the
aggregates and the matrix of and an increase in the volume of voids to twice. The
DMA results emphasize the increase in the damping factor with an increase in the
water content of the resin domain. Increasing the damping factor is desirable for a
specific application, such as PC for a precision machine. However, in view of the
other unfavourable effects caused by water on the resin domain and the PC
composite system, the elevated damping factor was ignored. The CTE of the
polymeric matrix increases as the water content increases. The influence of
moisture on the main mechanical properties of the PC composite system reveals
that an increase in moisture would lead to a decrease in both the flexural and
compressive strength at different rates. The flexural strength of the PC composite
system loses 99% of its initial strength when the moisture content is 5%. The
compressive strength loses 65% of its initial strength when the moisture content is
5%. The CTE of the PC composite strength decrease up to 50% as moisture content
reaches 5%. FTIR spectroscopy scans show an interaction between water and the
functional groups of the resins. TGA analysis enables the classification of water in
resin binder based on the strength of the interaction between water molecules and
functional groups in the polymer network. Increasing the water content increases
the level of non-interactive water (bulk water) since the resin reaches saturation
when the water content is 0.716 approximately. The existence of water in the
particulate fillers can have a negative effect on both the productivity of a PC
structure and the end-use mechanical properties. Drying of aggregate fillers
affected by moisture should be an essential procedure in raw material preparation
for PC. The allowable moisture must be as close to zero as possible. 0.002% may be
an acceptable level of moisture in the aggregates used in manufacturing PC
composite material.
216
Chapter 8
8 Maturity studies of polymer concrete
8.1 Introduction
The maturity method is a technique that accounts for the combined effects of time
and temperature on the strength development of concrete (Carino and Lew, 2001).
The concept of the maturity method is often used for cement concrete strength
prediction. Both cement concrete and PC are composite materials, their main
difference being the chemical nature of their mortar. PC mortar is a thermosetting
binder, whereas the mortar of ordinary concrete is a cement paster. By definition,
the maturity aspect for PC is therefore similar to ordinary concrete in some
respects. Two common parameters, temperature and time, have the same effects
on both PC and ordinary concrete in different forms and levels. The parameters
driving the maturity operations of PC are directly connected to the curing of the
thermosetting binder resin, which depends on the initiator, accelerator (Yang and
Suspene, 1991), temperature of curing (Zheng et al., 1988) and monomeric
reactivity ratio (Sanchez et al., 2000, Rodriguez, 1993). The curing of cement
concrete depends on the temperature and chemical content of the cement paster
(Carino and Lew, 2001). In addition, while watering enhances the strength
development of cement concrete (Powers, 1948), the existence of water in the
217
aggregates in PC reduces the mechanical strength rapidly (Fontana and Reams,
1985). The common parameters for deriving the maturity of both PC and cement
concrete are the maturing temperature and time. These parameters were used as
the main drivers for the nominated maturity method. The maturing of the PC base
takes a month or sometimes more when matured under the ambient temperature.
This time is considered a long lead-time, and requires considerable storage space
for thee tons of bases. Increasing the productivity and decreasing the lead-time
would have a major impact on the cost of the PC base, and enhancing the maturity
would have a positive effect on both productivity and the quality of PC base. In
this chapter, the maturity method is identified. PC samples were heated for
various periods of time at different temperatures, according to the maturity
method. PC samples with different maturity conditions were tested for flexural
strength. The datum temperature was calculated and a mathematical expression
was obtained to predict the correlation of the relative flexural strength with
maturity temperature.
8.2 Maturity method
The demand for a procedure accounting for the combined effects of time and
temperature on strength development for different elevated temperatures grew as
concrete material evolved. It had been proposed that the product of time and
temperature could be used for this purpose for ordinary concrete (McIntosh, 1949,
Nurse, 1949, Saul, 1951). These approaches led to the construction of a
relationship, known as the Nurse-Saul maturity function:
)1.8(..................................................))(())(,(0∫=t
dTKTHtM ττ
218
Where ))(,( THtM is the maturity at age t after temperature history )(TH , τ is the
age of maturing, varying from 0 to actual age t, and )(TK is the rate function
which depends on the temperature T of the concrete.
The equivalent age concept will be introduced later. For a concrete having a given
maturity after a given temperature history, it is defined as the time during which
the concrete should be placed at a reference constant temperature (usually average
ambient temperature) to reach the same level of maturity. Mathematically, one can
have:
)2.8.....(........................................).........,())(,( re TtMTHtM =
where ),( re TtM is the maturity at age te at constant reference temperature Tr. te is
the equivalent age. By substituting Equation (8.1) in Equation (8.2) to obtain
Equation (8.3):
)3.8.......(..................................................)(),(0
τdTKTtMet
rre ∫=
)4.8...(..........)()].([)())((000
er
t
r
t
r
t
tTKdTKdTKdTKee
=== ∫∫∫ ττττ
From Equations (8.2), (8.3) and (8.4):
219
)5.8.(............................................................)())((
0
ττ dTKTKt
r
t
e ∫=
The Arrhenius law can be used to determine equivalent age:
)6.8....(..................................................)..........
exp(.)(TREaATK −
=
where Ea is the apparent activation energy of the process (in J/mol), T is the
absolute temperature (in K), R is the universal gas constant (8.314 J/mol K) and
A is the constant of the function. The associated equivalent age function can be
obtained by substituting Equation 8.6 in Equation 8.5:
)7.8..(............................................................])(
11][exp[.0
ττ
dTTR
EaAtr
t
e −= ∫
From this equation, there is a synergic effect of activation energy and temperature
combined with time on the equivalent age of polymer concrete. Those
mathematical indications can be validated by experimental results.
220
8.3 Datum temperature
Datum temperature can be defined as the temperature below which strength
development ceases. A low datum temperature is an indication of low activation
energy (Ea). The catalyst amount may help in lowering the activation energy of PC
resin binder (Lee et al., 1997). An increase in catalyst concentration will accelerate
the reaction through the reduction of activation energy and lower the datum
temperature.
8.4 Estimation of datum temperature
Maturity for ordinary cement concrete is defined as an integral of the curing
period and temperature of cement concrete above a datum temperature, and is
expressed by the following equations (Saul, 1951):
The rate constant
)8.8.......(............................................................)())(( οττ TTTK −=
where οT is the datum temperature. When the maturing process is isothermal
)9.8.(................................................................................)( TT =τ
The maturity cM according to the definition will be as follows:
)10.8.......(......................................................................)(0
το dTTMt
c −= ∫
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)10.8.........(............................................................)( το ∆−= ∑ TTMc
where Mc=Maturity [(oC.h) or (oC.d)] of cement concrete at a curing period or age,
t or Δτ (hours or days), T =temperature (oC) of maturing ordinary concrete, and
To = datum temperature (oC) below which there is no strength gain in the cement
concrete, regardless of the curing period. Lee et al. considered τ∆ as a
replacement of τ∆ in Equation 8.10 because of more rapid progress of the setting
or hardening process of rein binder in PC than the cement mortar in ordinary
concrete (Lee et al., 1997). This modification in maturity equation is required due
to the fact that greater strength development can be obtained in hardening process
of PC than cement concrete. Therefore, maturity for PC ( pcM ) can be expressed as
follows:
)11.8.........(............................................................)( το ∆−= ∑ TTM pc
For isothermal reaction (T=Constant)
8.5 Experimental studies of polymer concrete maturity
The reason for nominating flexural strength rather compressive strength was that
a PC base acts as a simply supported beam and the main effective strength is
therefore flexural strength. Compressive strength cannot be an efficient
measurement, as the compressive load is very small compared to the flexural load.
PC samples were prepared according to the method described in Section 3.6.1. To
study flexural strength under various temperatures and times, samples were
222
matured using a Thermoline dehydrator oven TD-150, made in Australia. The
samples were matured using the dehydrator oven at 35 and 50 °C. Small
temperatures, such as 5°C, were achieved by using a 400L Samsung refrigerator.
Ambient maturing took place at room temperature which was an average of
23.1°C. Various times of maturing were applied for each sample, starting with a
minimum of six hours, to a maximum of two weeks. Once the maturing process
was accomplished for a PC sample, a four-point flexural test was performed
according to the Australian standard AS 1012.11-2000 to determine the flexural
strength of the PC sample for a specific time and temperature. The test method
was described in Section 3.6.3. All tests were run at ambient temperature half an
hour after removing the samples from the oven or the fridge. A temperature check
was performed on the PC sample prior to the flexural strength test. This procedure
was to ensure that the PC sample had reached the thermal equilibrium with
ambient temperature at the time of testing. Figure 8.1 shows the development of
flexural strength for various maturing temperatures. Increasing the temperature
increases the level of flexural strength development, which reduces the time for
maturing.
223
Figure 8.1 Flexural strength of the PC as a function of maturing time at various maturing temperatures: ambient, 5 °C, 35 °C and 50°C.
The maximum flexural strength developed was 17.12 MPa, requiring 720 hours
when the maturing temperature was 5 °C, as shown in Figure 8.1. The minimum
strength measured at 50°C was 22.49 MPa, developed over 6 hours, as shown in
Figure 8.1. Assuming that the rate of strength development for the first six hours
is constant when the maturing temperature is 50 °C. Hence, the time required to
develop 17.12 MPa at 50 °C is 4 hours and 34 minutes. By comparing this time
with the time required for strength development at 5 °C, the following can be seen:
by increasing the temperature from 5 °C to 50 °C, the time of the curing has
decreased 157.65 times.
224
8.6 Relative flexural strength
The PC relative flexural strength in maturity operation can be defined as the ratio
of the strength of a PC sample, matured at a particular temperature, and the
maximum strength achieved by an identical PC sample for the same maturing
temperature. The flexural strength was obtained for each temperature and time.
The relative strength was calculated according to the definition. Figure 8.2
displays the relation between relative flexural strength and maturing time for
50°C. The experimental results indicated the elevated temperature effect on the
rate of PC maturing.
0
0.2
0.4
0.6
0.8
1
1.2
0 200 400 600 800
Rela
tive s
treng
th
Time of maturing (hours)
Figure 8.2 Relative strength of PC as a function of maturing time at 50 °C.
The overall relation between maturing time‘t’ (days) and relative strength σrel can
be described empirically utilizing the following expression:
225
)12.8.......(........................................).........tanh(. ktrel =σ
where tan h is the hyperbolic tangent ( xx
xx
eeeex
−
−
+−
=tanh ), and k is the coefficient
that can be calculated for a particular relative strength and time. Plotting the k
coefficient per day for each temperature, as shown in Figure 8.3, revealed a
relationship connecting k with the temperature.
Figure 8.3 revealed a relationship connecting k with the temperature.
The empirical relationship that governs the relative flexural strength with the
maturing temperature and maturing time can be represented as following:
)13.8....(........................................).........)57.0*035.0(tanh(. tTrel +=σ
226
Figure 8.4 displays the experimental results of relative strength for each time and
maturing temperature and the predicted results using the above formula for
relative strength as a function of maturing time. All figures predicted and the
experimental values are reasonably close.
0
0.2
0.4
0.6
0.8
1
1.2
0 5 10 15 20 25 30
Rela
tive
stre
ngth
Time, days
Figure 8.4 Relative strength versus maturing time for 5°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula.
227
0
0.2
0.4
0.6
0.8
1
1.2
0 5 10 15 20 25 30
Rela
tive
stre
ngth
Time, days
Figure 8.5 Relative strength versus maturing time for 35°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula.
0
0.2
0.4
0.6
0.8
1
1.2
0 5 10 15 20 25 30
Rela
tive
stre
ngth
Time, days
Figure 8.6 Relative strength versus maturing time for 50°C maturing temperature (◊) experimental data and red curve predicted by the empirical formula.
228
The datum temperature can be estimated by utilizing the definition of datum
temperature, and applying the boundary condition to Equation (8.13). The datum
temperature is the temperature where the developed strength is zero, in other
words, the relative strength is zero. This leads to K coefficient being equal to zero.
To satisfy this condition:
)14.8(..............................057.0*035.0 =+οT
)15.8..(..............................).........035.057.0(−=οT
)16.8(........................................3.16 CT °−=ο
The ordinary concrete datum temperature is -10 °C (Bergstorm, 1953). Polymer
concrete has a lower datum temperature than ordinary concrete, which also
validates the Equation (8.13). The empirical Equation (8.13) allows obtaining the
maturing time for a particular curing temperature at a certain known level of
relative strength.
8.7 Moisture effect on the resin mechanical properties during
maturing
The effect of moisture was investigated thoroughly and described in chapter
seven, but the effect of maturity was not described there. The resin binder is the
backbone of the composite material and seems to be the most effected by moisture
during maturing, as shown in Figure 8.7. This effect is reflected on in the overall
mechanical properties of a polymer concrete composite material. Samples of resins
229
was prepared in the same way that used in preparing resin sample for moisture
study, the level of moisture was 1%. Resin sample were placed in oven for a day
for various temperatures. It was observed that increasing the maturing
temperature in presence of a low level of moisture resulted in an increased
number of cracks and voids, as displayed in Figure 8.7.
Figure 8.7 Moisture 1%, increase the maturing temperature increased the cracks and voids in UPE resin binder.
During the curing of UPE resin there was a temperature build-up due to the
exothermal reaction. The generated energy during the exothermic reaction was the
fundamental source of chemical energy used in evaporating water that included in
the resin in the course of curing. This resulted in the formation of pores (voids)
that affected the mechanical properties of the resins. Evaporation of water droplets
created voids with a spherical shape, as shown previously. This situation occurred
230
when the only energy available during the reaction was the exothermal energy.
When the reaction energy combined with an external source of energy (maturing
temperature) in the presence of moisture, the effect could be doubled or tripled,
depending on power level of the combined energy source. The water droplets
evaporated quicker and earlier during the curing of the resin with a higher
pressure, causing more voids with a bigger volume and higher numbers of cracks
as the temperature increased. Increasing the level of moisture brought an increase
in the level of voids and cracks populations as shown in Figure 8.8. The main
reason of using maturing process for polymer concrete is to enhance the
mechanical properties and reduce the lead time for maturing. The presence of
moisture induces a catastrophic result in terms of mechanical properties and
undoubtedly increased the lead-time (maturing time).
Figure 8.8 Moisture 2% shows a higher level of cracks and void populations in UPE resin binder.
231
8.8 Conclusions
The following conclusions were drawn from the results:
§ An empirical mathematical expression was developed to predict the
correlation of the relative flexural strength with temperature, as well as the
time of curing.
§ Datum temperature can be calculated using an empirical mathematical
model.
§ Increasing the temperature from 5 °C to 50 °C decreased the time of the
curing by 157.65 times. Adapting the curing process in the production of a
base could reduce the lead-time and enhance the quality.
§ Existence of water diminishes the resin and PC mechanical properties two
or three times as the maturing temperature increases.
232
Chapter 9
9 Conclusions
9.1 Introduction
The principal objective of this research was to optimize the PC composite
materials to be used in manufacturing bases of precision tool machinery. Using
composite materials for such an application in an optimized form can produce
numerous enhancements to elevate the precision level of the machinery and
increase the productivity of the PC base. The research work involved in the PC
optimization was designed according to specific optimization criteria that were
carefully identified according to application requirements. The main focus of this
research was the optimization of the thermal and mechanical properties of PC
bases, and the process of production of a PC for use in the manufacture of PC
bases. For the optimization of the final properties, several critical performance
parameters are nominated. The main parameters include the CTE, the damping
ratio, and the flexural strength of the PC and resin binder. For optimization the
process of the resin binder, the critical performance parameters are viscosity and
temperature. Optimized PC offers improved mechanical, thermal and rheological
properties. It can deliver desirable properties and produce further enhancement in
the accuracy of precision tool machinery. The validation of the optimized PC base
233
using simulation demonstrates the potential to enable precision tool machines to
produce enhanced products in terms of the precision level that can be achieved in
producing further products. This enhancement of the operational conditions for
precision tool machining increases the level of precision for a wider range of
products, reaching a higher peak for these precise products.
9.2 Major Findings and Original Contributions
I. The chemical composition of the thermosetting resin binder has been
optimized, since it is the backbone of a PC composite. Extensive thermal,
mechanical and rheological studies were carried out, as detailed in
Chapter 4. The optimum resin binder composition is nominated as 40%
/60% ARAPOL/MMA. It has the highest damping factor (4.5%) of all the
investigated resins. The highest flexural strength is reached using the
optimum resin with 128 MPa and a low strain of 10.4. It also has the
highest tensile strength. The optimum resin achieves the second lowest
CTE of (7.98 ×10-5°C-1). The nominated resin also has a low rate of
viscosity increase and low temperature profile during curing. The
rheological properties of the optimum resin may also enhance the mixing
of the aggregate with the resin by giving more time prior to gelation,
when the polymerizing mixture is still a flowing liquid. This is the
fundamental contribution that laid the groundwork for further
investigations of the composition of the filler, as detailed in Chapter 5. The
developed polymeric binder has met the research object put forward in
section 1.6.
234
II. The most challenging stage in the study was to nominate and validate the
optimum filler composition according to the optimization criteria of the
application. Some new and unique compositions were investigated for the
first time, such as basalt, spodumene and fly ash and gravel, spodumene
and fly ash. The optimum composition is basalt, sand and fly ash (87%
filler and 13% resin), which has the lowest CTE and acceptable flexural
strength considering the structural load of the application. A reduction in
resin of 4% from 17% down to 13% reduces the PC damping ratio by
approximately 40%. This reduction in damping ratio can be dealt with and
substituted by the structural solution of increasing the damping ratio of
the base. This could be achieved by attaching a single or multiple
mechanical dampers in suitable positions on the PC base. The optimum
filler composition is extremely cost effective compared to other
comparable compositions. Through the validation of the optimum
composition using FEA, the variations in deformation of the rail base were
reduced to a sufficiently low level that they could be ignored. The
optimized PC’s properties and its functionalities are not offered by
existing feedstock materials. The optimal composition of PC, in terms of
resin and composite material, has been determined on the basis of the
potential use by the industrial partner. Details of this were outlined in
Chapter 5. The optimum composition has met the research objectives
.
235
III. Aspects of moulding technology have been examined individually as part of
the process optimization. Each one has a different effect and influences the
mechanical properties and curing behaviour of PC by various means. The
optimum vibration frequency for the operation of a vibration table for the
preparation of a PC sample was identified as 18.9375 Hz. An empirical
relationship correlating the moulding temperature and the DMA amount was
obtained. An increased DMA fraction in the resin binder has a negative
impact on the mechanical properties and increases the curing rate as well as
the temperature profile. Various mixing technologies were investigated for the
purpose of obtaining one that could produce a PC with the highest flexural
strength. It was found that MT1 is the mixing technology that can produce a
PC sample with a flexural strength of 22.53 MPa, which is the maximum
flexural strength compared to the others. Details were outlined in Chapter 6.
This finding has met the research objective in terms of developing the
moulding technology and other related aspects.
IV. Extensive experiments were carried out to fully characterize the effect of
moisture on the thermal, mechanical and curing behaviour of the polymeric
matrix and PC composite material. An increase in the moisture causes an
increase in the curing time and hence reduces the curing rate rapidly. The
effects of moisture on the mechanical properties of the resin domain (flexural
strength, tensile strength, modulus of elasticity and hardness) are large and
clearly apparent. An increase in moisture decreases the mechanical strength of
the resin domain because of the morphological change caused by the increase
in voids and micro-cracks. The DMA results emphasize the increase in the
damping factor when there is an increase in the moisture content of the resin
domain. The CTE of the polymeric matrix increases as the water content
236
increases. The influence of moisture on the main mechanical properties of the
PC composite system has been revealed. An increase in moisture leads to a
decrease in both the flexural and compressive strength at different rates. The
CTE of the polymer concrete composite strength increases up to 50% as
moisture content reaches 5%. FTIR spectroscopy scans show an interaction
between water and the functional groups of the resins. Increasing the water
content increases the level of non-interactive water (bulk water). When 1% of
water is added to the resin composition, the share of MMA solubility (1.2
×60%) is 0.72% and the share of Dimethyl aniline (DMA)(1.5%×0.02%) is
0.03%, and these components are soluble, as shown in Table 7.1. The total
soluble water is 0.75%. In another words, the resin will reach saturation when
the water added is 0.75%of the resin volume and the rest in bulk water, since
the resins reach saturation when the water content is approximately 0.75%.
The existence of water in the particulate fillers can have a catastrophic effect
on both the productivity of a polymer concrete structure and the end-use
mechanical properties. Drying of aggregate fillers which are affected by
moisture should be an essential procedure for raw material preparation, and
the allowable moisture must be as close to zero as possible. 0.002% would be
an acceptable level of moisture in the aggregates used in the manufacture of
PC composite material. Details were outlined in Chapter 7. The results
presented in this chapter meet the objectives of the research in terms of
identification of acceptable moisture content for the fillers, based on the
influence of moisture on the thermo-mechanical properties of both composite
and matrix.
V. Finally, a maturity study has been successfully conducted for PC used in the
bases of precision tool machinery, for the purpose of increasing productivity
and reducing the curing time. An empirical mathematical expression to
237
predict the correlation of the relative flexural strength with temperature as
well as time of curing has been developed. Datum temperature was calculated
using a mathematical model developed empirically. By increasing the
temperature from 5 °C to 50 °C, the time required for curing decreased 157.65
times. Adapting the curing process in the production of a base could reduce
the lead-time and enhance the quality. The existence of water in the resin
diminishes the mechanical properties as the maturing temperature increases.
The outcome of Chapter 8 has met the research objective in terms of
developing a customized maturity method that relates to the PC base for a
precision tool machine.
9.3 Recommendation and Future Work
PC has low thermal conductivity, which affects its thermal, mechanical and curing
behaviour. Increasing the thermal conductivity has the potential to enhance the
thermal, mechanical and curing behaviour of the PC. Emerging technologies
enable the production of inexpensive and affordable nano-fibres, nano-particles
and micro-particles, and the development of nano-composites offers a potential
new generation of PC material that can be used for the bases of precision tool
machinery. For example:,
§ Carbon graphite could offer a very affordable option, as could the
utilisation of fillers such as silica fume fiber glass, fiber carbon and fiber
polypropylene. However, certain challenges continue to hamper the
development of such materials and therefore more rigorous research is
required for an optimized thermal conductivity level.
238
§ These choices include nano-carbon fibres, nano-carbon tubes, micro-carbon
and commercial graphite, all of which can be combined with a particular
design modification of the base to achieve multi-encasements for the base.
These base design modifications include the implementation of conformal
cooling channels in multi-layers, which would enable the base to be further
improved in terms of CTE with the enhancement of temperature
distribution.
§ The attachment of mechanical dampers could induce an improvement of in
the overall structural damping ratio of precision tool machinery. These are
exemplary candidates for the development of new, higher thermal
conductivity, lower CTE and higher flexural strength nano-composites or
micro-composite PCs for use in the bases of precision tool machinery.
§ The time-dependant behaviour of polymer concrete, based on polyester
resin, also influences the behaviour of precision machine bases. Properties
such as the creep and shrinkage of PC bases and how these affect the
stability of the application should be investigated in future research.
§ Further research is required in respect of the compaction of PC, considering
the resin rheological, mechanical properties of the PC and the filler
composition. In addition the uniformity of the PC mixture should be
measured for future research.
§ In Chapter 7, the focus was on the moisture contents of fillers. Water
absorption of aggregates is another aspect that can be recommended for
future research.
239
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